Statik analiz veya yürütme doğrulamalı pipeline'lar kullanarak doğrulanmış bulgulardan aday güvenlik düzeltme diff'leri oluşturur.
- GitHub yıldızları
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- Son commit
- 10 Kas 2026
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- MIT
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patch skill ne işe yarar?
patch bir agent skill'dir. Statik analiz veya yürütme doğrulamalı pipeline'lar kullanarak doğrulanmış bulgulardan aday güvenlik düzeltme diff'leri oluşturur.
Özet, skill'in SKILL.md dosyasından oluşturuldu.
patch skilli hakkında
Güvenlik mühendisleri ve geliştiriciler, doğrulanmış güvenlik açığı bulgularını aday kod düzeltmelerine dönüştürmek için bu SKILL'i kullanır. Tehdit modelleme ve taramadan triyaj aşamasına, oradan da gerçek diff'lerin oluşturulmasına kadar uzanan bir güvenlik iş akışının son aşaması olarak işlev görür. Araç iki farklı modda çalışır: düzeltmeler oluşturmak için bir yama alt ajanı ve bağımsız bir inceleyici kullanan statik mod ile süreci build, reproduce, regress ve re-attack basamaklarını takip eden özel bir pipeline'a devreden yürütme doğrulamalı mod.
Güvenliği sağlamak amacıyla, bu SKILL hedef depoyu asla doğrudan değiştirmez. Bunun yerine, insan incelemesi ve manuel uygulama için ayrılmış bir PATCHES dizini içinde etkisiz diff dosyaları ve JSON raporları üretir. TRIAGE.json veya VULN-FINDINGS.json gibi girdilere dayanır ve uzun süren görevleri yönetmek için dahili checkpointing kullanır. Düzeltmelerin oluşturulmasını uygulamadan ayırarak, yapılandırılmış iyileştirme verileri sağlarken kazara veya yetkisiz kod değişikliklerini önler.
Bir agent bununla neler yapabilir
- 1Doğrulanmış güvenlik açıkları için düzeltmeler oluşturunBir AI ajanı, son bir tarama sırasında bulunan tüm true positive bulgular için aday diff'ler oluşturması talimatıyla çalıştırılabilir.
- 2Doğrulanmış yama pipeline'larını otomatize edinBir yürütme harness'ından gelen sonuç dizini sağlandığında, SKILL titiz bir doğrulama basamağını tetikler.
Skill'in SKILL.md dosyasından yazılmıştır. Her kullanım durumu oradaki bir alıntı ile kontrol edilir.
patch skill nasıl kurulur
Her komut, skill klasörünü istemcinin skills dizinine kopyalar. Yüklemek için istemciyi yeniden başlatın veya yeni bir oturum başlatın.patch skill'ini Eklenti uygulamasına kur
/plugin marketplace add air-gapped/skills /plugin install defending-code@air-gapped-marketplace
patch skill'ini Claude Code uygulamasına kur
~/.claude/skills/patch/SKILL.md
$ npx degit air-gapped/skills/.claude/skills/patch ~/.claude/skills/patchpatch skill'ini Claude Code (project) uygulamasına kur
.claude/skills/patch/SKILL.md
$ npx degit air-gapped/skills/.claude/skills/patch .claude/skills/patchpatch skill'ini Codex uygulamasına kur
~/.agents/skills/patch/SKILL.md
$ npx degit air-gapped/skills/.claude/skills/patch ~/.agents/skills/patchpatch skill'ini Gemini CLI uygulamasına kur
~/.gemini/skills/patch/SKILL.md
$ npx degit air-gapped/skills/.claude/skills/patch ~/.gemini/skills/patchpatch skill'ini Claude.ai uygulamasına kur
npx degit air-gapped/skills/.claude/skills/patch patch && zip -r patch.zip patch # claude.ai → Customize → Skills → + → Create skill → Upload a skill → patch.zip
Otomatik kontroller
Çalıştırıldı 14 Kas 2026Tam rapor →Otomatik kontrollerimizi geçti. Bu bir güvenlik denetimi değil: bir ajanın çalıştırmasına izin vermeden önce betikleri okuyun. Kontroller nasıl çalışır · Daha fazla puan için nelerin düzeltileceği
- Kaynak deposu bağlantılı ve erişilebilirair-gapped/skills/.claude/skills/patch is public and reachablegithub.com/air-gapped/skills/tree/HEAD/.claude/skills/patch ↗Geçti
- Açık kaynak lisansı (OSI)MITspdx.org/licenses/MIT.html ↗Geçti
- Son bir yıl içinde commit veya sürüm mevcutLast commit 2026-11-10github.com/air-gapped/skills/commits ↗Geçti
- Betiklerde indir-çalıştır veya kimlik bilgisi hırsızlığı yok1 script read; no download-and-run, remote eval, base64 execution or credential uploadGeçti
- SKILL.md içinde gizli talimat yokNo override phrases, safeguard switches, credential requests or hidden charactersgithub.com/air-gapped/skills/blob/HEAD/.claude/skills/patch/ ↗Geçti
- Önceden izin verilen araçlar sınırlıPre-approved: Read, Glob, Grep, Write, Agent, Bash(python3 .claude/skills/patch/scripts/checkpoint.py:*), …github.com/air-gapped/skills/blob/HEAD/.claude/skills/patch/ ↗Geçti
- SKILL.md, Agent Skills biçimine uyuyorSKILL.md is 612 lines; the spec suggests under 500github.com/air-gapped/skills/blob/HEAD/.claude/skills/patch/ ↗Bulgu
SKILL.md
GitHub'da görüntülepatch
Last leg of the defending-code loop (/threat-model → /vuln-scan →
/triage → /patch). Turns a ranked list of verified findings into
candidate diffs. Nothing consumes this skill's output automatically — a human
reviews and applies the diffs.
The skill never applies a diff to the target repo. Output is inert text
in ./PATCHES/ for a human to review and apply out-of-band — see § "Reviewing
generated patches" at the end of this file. There is no --apply or
--approve flag by design: the capability isn't present, so it can't be
prompt-injected into use.
Invoke with /patch <findings-path> [--repo PATH] [--top N] [--id fNNN] [--model M] [--fresh].
Arguments (parse from $ARGUMENTS):
- findings path (first positional, required):
TRIAGE.json,VULN-FINDINGS.json, a pipelineresults/<target>/<ts>/directory, or any JSON the/triageingest table recognizes. --repo PATH: target codebase, read-only (default cwd). Required for static mode; the skill stops if cited files don't resolve under it.--top N: patch only the N highest-severity true positives (static mode).--id fNNN: patch only the finding with this id.--model M: passed through tovuln-pipeline patchin execution-verified mode. Ignored in static mode (subagents inherit the orchestrator's model).--fresh: ignore./.patch-state/checkpoint and start over.
Tools. Prefer Read, Glob, Grep, Write, Agent. Some sessions do not
provision Glob or Grep. allowed-tools only pre-approves the listed tools for
the invoking turn; it neither loads nor blocks any tool, so the Bash limits
below are this skill's rules to follow, not limits the runtime enforces.
When Glob/Grep are unavailable, fall back to the read-only Bash commands
pre-approved above: rg/grep for search, ls for enumeration,
head/file/wc for sniffing, jq for JSON ingest. Bash is otherwise
permitted only for python3 .claude/skills/patch/scripts/checkpoint.py (state I/O)
and vuln-pipeline patch (execution-verified delegate). find is NOT
permitted.
Write scope. The Write tool may target ONLY paths under ./PATCHES/ and
./.patch-state/. Never write into --repo, never git apply, never
patch, never edit target source. If a step seems to require it, the step is
wrong.
Checkpointing (runs before Phase 0 and after every phase)
State persists to ./.patch-state/ so a fresh /patch session resumes
without re-spawning patch or reviewer subagents. All checkpoint I/O goes
through python3 .claude/skills/patch/scripts/checkpoint.py (atomic, JSON-validated).
The Write→--from pattern keeps repo-derived bytes out of Bash argv; never
pass payload via heredoc or stdin.
State files: progress.json (single source of truth: {"status": "running"|"complete", "phase_done": N, "shards_done": [...]}),
phaseN.json, _chunk.tmp.
Start of run. Bash:
python3 .claude/skills/patch/scripts/checkpoint.py load ./.patch-state
status == "absent"OR"complete", OR--freshin$ARGUMENTS→ fresh start. Bash:python3 .claude/skills/patch/scripts/checkpoint.py reset ./.patch-state, proceed to Phase 0.status == "running"withphase_done == N→ resume. Readphase0.json..phaseN.jsonin order (and anyshard_*.jsonlisted inshards_done), merge into working state, printResuming from checkpoint: Phase N complete, skip to Phase N+1. Do not re-spawn any subagent whose output is already checkpointed.
End of every phase N. Write tool → ./.patch-state/_chunk.tmp with the
phase's JSON, then Bash:
python3 .claude/skills/patch/scripts/checkpoint.py save ./.patch-state <N> <name> --from ./.patch-state/_chunk.tmp
End of run. After writing PATCHES.md and PATCHES.json, Bash:
python3 .claude/skills/patch/scripts/checkpoint.py done ./.patch-state 4
Phase 0: Parse arguments and detect mode
0a. Parse $ARGUMENTS
Extract findings path (first positional), --repo (default .), --top,
--id, --model, --fresh. If no findings path, stop and ask.
0b. Detect mode
Inspect the findings path:
- execution-verified mode when the path is a directory containing
reports/manifest.jsonlORfound_bugs.jsonlORrun_*/result.json(pipeline output). The findings have PoC bytes + ASAN traces + reproduction commands; the pipeline's verification ladder applies. - Stop when that directory also holds an
INCIDENTS.jsonanywhere under it: it is a detection & response run, which writesrun_*/result.jsontoo.vuln-pipeline patchcannot patch it and this skill does not ingest incidents — say so; never delegate it. - static mode otherwise:
TRIAGE.json,VULN-FINDINGS.json, generic finding JSON, or markdown. No PoC; the oracle is a fresh-context reviewer.
Record mode in working state. The two modes share Phase 1 ingest then fork
at Phase 2.
Checkpoint: Write tool → ./.patch-state/_chunk.tmp:
{"phase": 0, "mode": "exec"|"static", "args": {repo, top, id, model, findings_path}}
Then Bash:
python3 .claude/skills/patch/scripts/checkpoint.py save ./.patch-state 0 mode --from ./.patch-state/_chunk.tmp
Phase 1: Ingest and normalize
Same input contract as /triage Phase 1. Normalize every input format to a
flat findings[] of dicts. Pull what's present; never guess what's absent.
1a. Recognized containers (priority order)
TRIAGE.json— read.findings[]. Filter toverdict == "true_positive". This is the canonical input: already verified, deduped, ranked, owner-tagged.VULN-FINDINGS.json— read.findings[]. Unverified; printWarning: VULN-FINDINGS.json is unverified scanner output. Consider /triage first.and continue.- Pipeline results directory — one finding per
reports/bug_NN/. Mapreport.json→description,crash.crash_type→category, ASAN top-frame →file/line. Recordbug_id = NNfor the--bug Ndelegate flag. - Generic
*.jsonwith a top-level list or afindings/results/issues/vulnerabilitiesarray.
1b. Field aliases (canonical ← also-accept)
| Canonical | Also accept |
|---|---|
file |
path, location.file, filename |
line |
line_number, location.line, lineno |
category |
type, cwe, rule_id, crash_type |
severity |
severity_rating, level, priority |
title |
name, summary, message |
description |
details, report, body, evidence, rationale |
recommendation |
fix, remediation, mitigation |
owner_hint |
owner, component |
source_ref |
source, taint_source (as file:line) |
sink_ref |
sink, taint_sink (as file:line) |
Attach id (f001, f002, ... in ingest order; preserve existing ids from
TRIAGE.json) and source (relative path of the file it came from).
source_ref / sink_ref decide where the fix lands: a validation fix
belongs at the source, a bounds/escaping fix at the sink, and when several
findings share one sink the fix belongs there once rather than at each
source. Carry them verbatim; never infer a ref the input did not carry.
From TRIAGE.json, also carry asset, impact, deployment_condition,
and verify_verdict verbatim when present — they tell the human reviewer
why the fix matters and under what deployment its severity moves, not
just a severity label. Null when the input lacks them.
1c. Filter and order
- Compute
fix_priorityper finding — decoupled fromseverity:highwhen the category is a dangerous primitive (arbitrary file read/write, SSRF, command/code execution, unsafe deserialization) AND its severity is gated only by the current deployment (deployment_conditionset, orverify_verdict == "reachable_no_impact"). Such a primitive is worth fixing first even at MEDIUM/LOW severity: it becomes exploitable the moment the deployment changes. Everything else:normal. - If
--id fNNN: keep only that finding. - If
--top N(static mode): sort byfix_priority(high first), thenseverityHIGH > MEDIUM > LOW, thenconfidencedesc, keep the first N — so a deployment-conditional dangerous primitive is not buried under higher-severity but lower-value fixes. - Drop findings with no
file(cannot patch what cannot be located). Record them asskippedwith reason"no source location".
1d. Locate the target codebase (static mode)
Resolve --repo. For the first 5 findings with a file, check the path
resolves under repo (try as-given, then with common prefixes stripped). If
none resolve, stop: tell the user the cited files aren't reachable and
suggest a --repo value.
Checkpoint: Write tool → ./.patch-state/_chunk.tmp:
{"phase": 1, "mode": ..., "findings": [...], "skipped": [...], "repo": ...}
Then Bash:
python3 .claude/skills/patch/scripts/checkpoint.py save ./.patch-state 1 ingest --from ./.patch-state/_chunk.tmp
Phase 2: Generate patches
Forks on mode.
2A. Execution-verified mode — delegate to the pipeline
The pipeline already implements the build → reproduce → regress → re-attack ladder with executable oracles. Do not reimplement it.
For each finding (or once for the whole directory if no --id/--top
filter), Bash:
vuln-pipeline patch <findings_path> --model <--model arg> [--bug <bug_id>]
The pipeline writes <findings_path>/reports/bug_NN/{patch.diff, patch_result.json} itself. After it returns, Read each patch_result.json
and copy verdict + rationale into working state. Set
verified: "ladder_passed" when verdict.passed == true, else
verified: "ladder_failed".
If the CLI exits non-zero (no build_command, missing target config), record
the stderr as the finding's error and continue with remaining findings.
Skip Phase 3 (the ladder is the verifier). Proceed to Phase 4.
Checkpoint per finding: Write tool → ./.patch-state/_chunk.tmp =
{"id": ..., "verified": ..., "verdict": ..., "diff_path": ...}, then Bash:
python3 .claude/skills/patch/scripts/checkpoint.py shard ./.patch-state <id> --from ./.patch-state/_chunk.tmp.
After all findings, write the consolidated phase payload to _chunk.tmp then:
python3 .claude/skills/patch/scripts/checkpoint.py save ./.patch-state 2 generate --from ./.patch-state/_chunk.tmp
2B. Static mode — one patch subagent per finding
One Agent per finding, all in a SINGLE assistant message for parallel
execution. subagent_type: "patch-author" (plugin installs:
defending-code:patch-author). Never set run_in_background: true — this
needs the diff text. Interactive sessions background subagents by default
anyway (fork mode on): expect async_launched there and use the recovery
below.
Each subagent is restricted to read-only tools and cannot modify the
target; it emits the diff as text in its response. The orchestrator writes
that text to PATCHES/bug_NN/patch.diff.
Patch-author instructions and tail
The full patch-author instructions are the system prompt of the
patch-author agent definition (../../agents/patch-author.md relative to
this skill directory — same layout in the repo and in a plugin install),
shared and prompt-cached across every author in the batch. Each spawn's
prompt is only the tail in references/prompts.md § Patch-author tail
(Phase 2B). Fallback: if neither agent name resolves, Read the agent
definition file and spawn general-purpose with its body pasted above the
tail.
Spawn
For each finding in findings[], build a Agent call with the tail above
(substituting {REPO_PATH}, {id}, {file}, {line}, {category},
{severity}, {title}, {description}, {recommendation}, and a fresh
{nonce} per spawn — see the references/prompts.md preamble; it isolates the
attacker-influenced finding text). description: "patch {id}".
If len(findings) > ~40, shard into sequential batches of ~40 (each batch
one message). Per-finding shard checkpoint after each result is parsed.
If any Agent call returns status: "async_launched" instead of the
subagent's text, the runtime backgrounded it. Pick one recovery and use it
for the whole batch:
- If completion notifications arrive in the conversation: parse each
subagent's tagged blocks from its notification
resultas it lands. Notifications arrive in later turns, so ending a turn to wait is fine; do not save the phase checkpoint or start the next phase until every finding is accounted for. - If notifications do not arrive: do NOT poll transcript files. Re-spawn the missing patch subagents in a fresh Agent batch (smaller shard, e.g. 10) and use the synchronous results. The same recovery applies to reviewer subagents in Phase 3.
Parse
From each Agent result, extract the five tagged blocks. Tolerate leading/
trailing whitespace, stray ``` fences, and HTML-escaped entities (<
> & — some runtimes escape angle brackets in notification
payloads; unescape before writing the diff). If <patch_diff> is NONE or
empty,
mark status: "no_patch". Otherwise write the diff text to
./PATCHES/bug_NN/patch.diff (NN = zero-padded index in sorted order) and
record rationale, variants_checked, bypass_considered, test_note.
Checkpoint per finding: Write tool → ./.patch-state/_chunk.tmp =
{"id": ..., "bug_nn": "NN", "status": ..., "rationale": ..., ...}, then Bash:
python3 .claude/skills/patch/scripts/checkpoint.py shard ./.patch-state <id> --from ./.patch-state/_chunk.tmp.
After all findings, write the consolidated phase payload to _chunk.tmp then:
python3 .claude/skills/patch/scripts/checkpoint.py save ./.patch-state 2 generate --from ./.patch-state/_chunk.tmp
Phase 3: Independent review (static mode only)
One reviewer subagent per generated diff, all in ONE message,
subagent_type: "patch-reviewer" (plugin installs:
defending-code:patch-reviewer; fallback as in Phase 2B, with
../../agents/patch-reviewer.md).
The reviewer never sees the finding's description, recommendation, or
the patch author's rationale. It gets only {file, line, category}
plus the raw diff bytes, and re-derives whether the diff is a minimal,
in-scope fix by reading the source itself. This keeps any instructions
embedded in finding prose from reaching both the author and the gate.
Reviewer instructions and tail
The full reviewer instructions are the patch-reviewer agent definition's
cached system prompt. Each spawn's prompt is only the tail in
references/prompts.md § Reviewer tail (Phase 3) — {REPO_PATH},
{file}, {line}, {category}, the diff, and a fresh {nonce} per spawn
(it wraps the diff as untrusted data). Pass it ONLY those fields — never
the finding prose or author rationale.
Spawn and parse
One Agent per finding with status != "no_patch". Parse the trailing block.
Attach review, gates ({root_cause, instance_coverage, no_new_vulns, best_practices}, each pass|partial|fail, instance_coverage also skip),
style_score, out_of_scope_hunks, review_reason to the finding. An
ACCEPT with any gate at partial (or instance_coverage skip) is a
qualified accept — count it in summary.qualified and keep the gate
values visible downstream; never collapse it to a plain accept. Set
verified: "static_review_only" for every static-mode result regardless
of ACCEPT/REJECT — the label describes the verification class, not the
outcome.
Checkpoint: Write tool → ./.patch-state/_chunk.tmp:
{"phase": 3, "findings": [...]}
Then Bash:
python3 .claude/skills/patch/scripts/checkpoint.py save ./.patch-state 3 review --from ./.patch-state/_chunk.tmp
Phase 4: Output
4a. Per-finding patch_result.json
For each finding (both modes), Write
./PATCHES/bug_NN/patch_result.json:
{
"id": "f003",
"source": "TRIAGE.json#2",
"title": "...",
"file": "...",
"source_ref": "...|null",
"sink_ref": "...|null",
"line": 0,
"category": "...",
"severity": "HIGH",
"fix_priority": "high" | "normal",
"asset": "...|null",
"deployment_condition": "...|null",
"owner_hint": "...",
"mode": "exec" | "static",
"verified": "ladder_passed" | "ladder_failed" | "static_review_only",
"review": "ACCEPT" | "REJECT" | null,
"gates": {
"root_cause": "pass|partial|fail",
"instance_coverage": "pass|partial|fail|skip",
"no_new_vulns": "pass|partial|fail",
"best_practices": "pass|partial|fail"
},
"style_score": 0,
"out_of_scope_hunks": [],
"rationale": "...",
"variants_checked": "...",
"bypass_considered": "...",
"test_note": "...",
"review_reason": "...",
"verdict": { "t0_builds": true, "...": "(exec mode only, from pipeline)" }
}
In exec mode, also Read the pipeline's
<findings_path>/reports/bug_NN/patch.diff and Write its bytes to
./PATCHES/bug_NN/patch.diff so both modes land in the same place.
4b. ./PATCHES.json
{
"patch_completed": true,
"mode": "exec" | "static",
"repo": "...",
"summary": {
"input_count": 0,
"patched": 0,
"no_patch": 0,
"accepted": 0,
"qualified": 0,
"rejected": 0,
"ladder_passed": 0
},
"findings": [ { ...patch_result.json shape... } ]
}
4c. ./PATCHES.md (incremental)
Step 1 — header. Write tool → ./PATCHES.md (clobbers prior):
# Candidate Patches
{if mode == "static":}
> **Static review only.** These diffs were authored and reviewed by
> independent agents reading source. They were NOT compiled, run, or
> re-attacked. Read each diff yourself before applying — see § "Reviewing
> generated patches" in the skill for what to look for.
{if mode == "exec":}
> **Execution-verified.** Each diff passed (or failed) the external harness's
> verification ladder: build → reproduce → regress → re-attack. The ladder
> proves the crash is gone, not that the diff introduces no new problems.
**Input:** {findings_path} · **Repo:** {repo} · {N} findings → {M} diffs
---
Step 2 — per finding (sorted: ACCEPT/ladder_passed first, then
fix_priority high first, then by severity). Write
./.patch-state/_chunk.tmp:
## bug_{NN}: [{severity}{if fix_priority == "high"}, FIX-FIRST{/if}] {title} ({id})
`{file}:{line}` · {category} · owner: {owner_hint or "?"}
{if source_ref or sink_ref}**Flow:** {source_ref or "?"} -> {sink_ref or "?"}{/if}
**Asset:** {asset or "?"} · **severity moves if:** {deployment_condition or "n/a"}
**Status:** {verified} · review {review or "n/a"} · style {style_score or "n/a"}/10
{if gates:}**Gates:** root-cause {gates.root_cause} · coverage {gates.instance_coverage} · no-new-vulns {gates.no_new_vulns} · best-practices {gates.best_practices}
**Diff:** `PATCHES/bug_{NN}/patch.diff` ({hunk count} hunks, {line count} lines)
**Rationale:** {rationale}
**Variants checked:** {variants_checked}
**Bypass considered:** {bypass_considered}
{if review == "REJECT":}
> **Rejected by reviewer:** {review_reason}
{if out_of_scope_hunks:}
> **Out-of-scope hunks:** {out_of_scope_hunks}
---
Then checkpoint.py append ./PATCHES.md --from ./.patch-state/_chunk.tmp.
Step 3 — footer. Append a ## Skipped table for findings with no file
or status == "no_patch", one line each with the reason.
Checkpoint (final): Bash:
python3 .claude/skills/patch/scripts/checkpoint.py done ./.patch-state 4
4d. Terminal summary
Under ~10 lines:
Patches generated ({mode} mode): {N} findings → {M} diffs.
Accepted: {n} {title of top accepted}
{if any:} Qualified accepts (a gate at partial/skip): {n} — read their Gates lines
Rejected: {n}
No patch: {n}
{if exec:} Ladder passed: {n}/{M}
Wrote ./PATCHES/bug_NN/, ./PATCHES.md, ./PATCHES.json
{if static:} These are drafts. Review before applying — see § "Reviewing generated patches".
End of the defending-code loop. No skill applies these; a human does.
Guard rails
- The skill never applies diffs. No
git apply, nopatch, no Edit against--repo. Needing to means the design is wrong. - Write only under
./PATCHES/and./.patch-state/. - Reviewer isolation. The reviewer prompt receives
{file, line, category, diff}and nothing else from the finding. Do not pass itdescription,recommendation,exploit_scenario, or the patch author'srationale. - Always set
subagent_type; never fork. An omitted type falls back togeneral-purpose, losing the read-only agent definition; a fork inherits the whole conversation, leaking every finding's prose into every subagent. - All Agent calls for a phase in ONE message. Serial spawning is correct but N× slower.
- Checkpoint before starting the next phase, every time.
- Exec mode delegates, never reimplements. The execution-verified ladder
belongs to an external harness (the defending-code reference pipeline; see
../vuln-scan/HARNESS.md). If itsvuln-pipeline patchbinary isn't on PATH, stop and tell the user the harness isn't installed; don't fall back to static mode silently.
Testing this skill
Static mode against any repo with known findings — run the loop end to end:
/vuln-scan <target-dir>
/triage <target-dir>/VULN-FINDINGS.json --repo <target-dir> --auto
/patch TRIAGE.json --repo <target-dir> --top 3
Expected: one diff per top finding under PATCHES/bug_NN/, each
verified: "static_review_only" with a review ACCEPT/REJECT verdict and a
style score. Spot-check that ACCEPTed diffs are minimal, root-cause fixes that
match surrounding style.
Execution-verified mode requires an external harness (see
../vuln-scan/HARNESS.md). Point /patch at a harness results/<target>/<ts>/
directory; it delegates to vuln-pipeline patch, surfaces
verified: "ladder_passed" per bug, and copies diffs into ./PATCHES/.
Reviewing generated patches
These diffs are candidates, never auto-applied. Before applying one:
- Read the diff against the source. Confirm it changes only code on the
path between the finding's
file:lineand its callers — no drive-by edits. - Root cause, not symptom. Reject patches that swallow the error
(
try/except: pass, early-return on a magic value, deleting the check that fired, lowering a log level) instead of fixing the underlying bug. - No new attack surface. Confirm the diff doesn't add parsing, trust a new input field, or weaken validation elsewhere.
- Run the regression test. Static-mode diffs embed a test that should fail before the change and pass after. Run it yourself; the skill could not.
- Minimal. Prefer the smallest change that fixes the root cause. An over-broad patch is harder to review and more likely to break a dependency.
A human owns the final patch. The skill's job is to make that review cheap, not to replace it.
Bu becerideki dosyalar
6patch skill soruları
patch skill'ini Claude Code uygulamasına nasıl kurarım?
npx degit air-gapped/skills/.claude/skills/patch ~/.claude/skills/patch komutunu çalıştırın. Claude Code, skill'leri ~/.claude/skills (tüm projeler) veya .claude/skills (tek proje) konumundan yükler ve açıklaması görevle eşleştiğinde skill'i kullanır.
patch skill'ini hangi istemciler kullanabilir?
Agent Skills biçimini okuyan her istemci: Claude Code, Codex, Gemini CLI ve claude.ai (ZIP olarak yükleyin). Skill içindeki betikler yalnızca istemcinin kod çalıştırmaya izin verdiği yerlerde çalışır.
Bu araç düzeltmeleri koduma otomatik olarak uygular mı?
Hayır, bu SKILL hedef depoya asla bir diff uygulamaz. İnsanların incelemesi ve manuel olarak uygulaması için ./PATCHES/ dizinine etkisiz diff'ler yazar.
Yama oluşturmak için girdi olarak hangi dosyaları kullanabilirim?
TRIAGE.json, VULN-FINDINGS.json veya bir yürütme harness'ından gelen sonuçları içeren bir dizin sağlayabilirsiniz.
Statik mod ile yürütme doğrulamalı mod arasındaki fark nedir?
Statik modda araç, diff'ler oluşturmak için bir yama alt ajanı ve bağımsız bir inceleyici kullanır. Yürütme doğrulamalı modda ise süreci build-reproduce-regress-re-attack basamaklarını izleyen bir pipeline'a devreder.