Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Verify fix commits address security findings without introducing new bugs or regressions. Analyzes diffs for anti-patterns like removed validation, weakened access control, reduced error handling, reordered external calls, and changed integer operations. Generates structured FIX_REVIEW_REPORT with finding status tracking.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill implements Trail of Bits' fix review methodology for the agent-studio framework. When a security audit produces findings and developers commit fixes, this skill systematically verifies that each finding is properly addressed without introducing new vulnerabilities or regressions.
Source repository: https://github.com/trailofbits/skills
License: CC-BY-SA-4.0
Output: Structured FIX_REVIEW_REPORT.md
NO FINDING CLOSED WITHOUT FIX VERIFICATION
A finding is not fixed until the fix has been reviewed against the original finding description, verified to address the root cause, and confirmed not to introduce new issues.
| Status | Meaning |
|---|---|
FIXED | Finding is fully addressed. Root cause eliminated. No regressions introduced. |
PARTIALLY_FIXED | Some aspects addressed but gaps remain. More dangerous than unfixed. |
NOT_ADDRESSED | Fix does not relate to the finding, or finding location unchanged. |
CANNOT_DETERMINE | Insufficient context or code complexity prevents definitive assessment. |
NEW_ISSUE | Fix introduces a new vulnerability or regression. |
The following anti-patterns indicate potentially incorrect or incomplete fixes:
ALERT: Input validation was removed or weakened in the fix.
Indicators:
ALERT: Authorization checks were reduced or bypassed in the fix.
Indicators:
ALERT: Error handling was simplified or removed, potentially hiding failures.
Indicators:
ALERT: Order of external calls changed, potentially creating race conditions or TOCTOU.
Indicators:
ALERT: Integer arithmetic modified, check for overflow/underflow/truncation.
Indicators:
ALERT: Cryptographic operations were changed in a potentially weakening way.
Indicators:
Read the original findings report to understand what was found:
# Read findings file
cat findings-report.md
# Or extract from issue tracker
gh issue view <issue-number>
Map each finding to its fix commit(s):
# View commits since the findings report
git log --oneline --since="<audit-date>"
# View a specific fix commit
git show <commit-hash>
# View PR diff
gh pr diff <pr-number>
For each finding-fix pair:
# Fix Review Report
**Date**: YYYY-MM-DD
**Reviewer**: [agent-type]
**Audit Reference**: [original audit report path]
**Commits Reviewed**: [list of commit hashes]
## Summary
| Status | Count |
| ---------------- | ----- |
| FIXED | N |
| PARTIALLY_FIXED | N |
| NOT_ADDRESSED | N |
| CANNOT_DETERMINE | N |
| NEW_ISSUE | N |
## Finding Reviews
### Finding F-001: [Title]
- **Original Severity**: Critical/High/Medium/Low/Informational
- **Original Location**: `file:line`
- **Fix Commit**: `<hash>`
- **Fix Status**: FIXED | PARTIALLY_FIXED | NOT_ADDRESSED | CANNOT_DETERMINE
- **Anti-Patterns Detected**: None | [list]
**Original Finding Summary**:
[Brief description of the finding]
**Fix Analysis**:
[Line-by-line analysis of what the fix does]
**Root Cause Addressed**: Yes/No/Partial
[Explanation]
**Regression Risk**: None/Low/Medium/High
[Explanation of potential regressions]
**Remaining Gaps** (if PARTIALLY_FIXED):
- [ ] Gap 1: [description]
- [ ] Gap 2: [description]
---
### Finding F-002: [Title]
[Same structure as above]
---
## New Issues Introduced
### NI-001: [Title]
- **Introduced By**: `<commit-hash>`
- **Location**: `file:line`
- **Severity**: Critical/High/Medium/Low
- **Description**: [What the new issue is]
- **Recommendation**: [How to fix it]
## Recommendations
1. [Prioritized list of remaining actions]
2. [Re-audit recommendations if needed]
audit-context-building to deeply analyze the codefix-review to verifycode-reviewer for additional review perspectivesvariant-analysis to check if similar patterns exist elsewhere| Skill | Relationship |
|---|---|
audit-context-building | Provides deep context for understanding fixes |
differential-review | Security-focused diff review (lower granularity) |
variant-analysis | Finds unpatched variants of fixed vulnerabilities |
static-analysis | Automated confirmation of fix effectiveness |
code-reviewer | General code quality review of fix commits |
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Reviewing diff without reading finding | Fix may address wrong issue or only surface symptom | Always re-read original finding before reviewing fix diff |
| Closing finding after any code change | Change may be unrelated or insufficient | Verify fix status is FIXED with root cause elimination confirmed |
| Ignoring partial fixes | PARTIALLY_FIXED is more dangerous than NOT_ADDRESSED (false security) | Track remaining gaps explicitly; keep finding open |
| Skipping anti-pattern checklist | Subtle regressions (weakened validation, reordered checks) go unseen | Run all 6 anti-pattern checks on every fix diff |
| Not checking for variant vulnerabilities | Same bug pattern likely exists elsewhere in codebase | Invoke variant-analysis after confirming fix |
Before starting:
Read .claude/context/memory/learnings.md
Check for:
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: If it's not in memory, it didn't happen.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。