Runs a Trailmark structural review gate over a branch, pull request, fix commit, release diff, or git ref range to detect new entrypoints, new tainted paths, removed validation or authorization calls, privilege-boundary drift, blast-radius growth, complexity growth, and newly reachable sensitive sinks. Use when reviewing a PR, branch, remediation commit, or release diff where graph-level security regressions should be checked before merge.
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。
Apply deterministic security gate rules to Trailmark structural diff evidence. This skill does not replace line-level review. It produces a compact structural packet reviewers can cite while they inspect the code.
trailmark or trailmark-structural.differential-review.trailmark-finding-triage.| Rationalization | Why It Is Wrong | Required Action |
|---|---|---|
| "The line diff is small, so no graph gate is needed" | Small changes can create new call paths | Compare before/after graphs |
| "Graph gate passed, so the PR is secure" | The gate only checks structural regressions | Still perform line-level review |
| "Trailmark failed, so pass the gate" | Tool failure is unknown risk, not success | Emit UNKNOWN |
| "Tests pass, so removed validation is fine" | Tests may miss affected entrypoint paths | Review the removed path manually |
| "Only new code matters" | Removed auth, validation, and callers can be higher risk than additions | Review removals and path changes |
Review Gate Progress:
- [ ] Step 1: Resolve before/after inputs
- [ ] Step 2: Build graph-evolution evidence
- [ ] Step 3: Normalize structural changes
- [ ] Step 4: Apply gate rules
- [ ] Step 5: Emit review packet and actions
Accept two refs, a branch name, a commit range, or before/after directories.
Do not check out branches unnecessarily. Prefer git diff, git show, and
git worktrees, following the graph-evolution snapshot workflow.
Run graph-evolution or equivalent Trailmark before/after graph analysis.
Both snapshots must run engine.preanalysis() so taint, privilege-boundary,
blast-radius, complexity, and entrypoint signals are available.
Record Trailmark version and any feature probes. If graph construction fails,
emit UNKNOWN.
Normalize evidence into:
Apply the rules in references/gate-rules.md. Gate verdicts are:
| Verdict | Meaning |
|---|---|
FAIL | A high-risk structural regression needs review before acceptance |
WARN | A meaningful graph change needs reviewer attention |
PASS | No configured structural gate fired |
UNKNOWN | Trailmark failed or evidence is too incomplete |
Write the packet using
references/output-format.md, then hand it to
the branch reviewer. Use
references/review-integration.md when
combining this packet with differential-review or another PR review process.
PASS when Trailmark failed.FAIL and WARN.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
Builds and runs code under AddressSanitizer to catch buffer overflows, use-after-free, and other memory errors during fuzzing or tests. Covers -fsanitize=address builds, ASAN_OPTIONS, reading the crash report, LeakSanitizer, and the overhead and platform trade-offs. Use when fuzzing C/C++ or Rust that has unsafe blocks or FFI, when debugging a memory corruption crash, or when reading an ASan stack trace.
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。
Sets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast. Covers instrumentation modes, parallel main and secondary campaigns, persistent mode, corpus minimization, and crash triage. Use when scaling fuzzing across cores, fuzzing a mature C/C++ codebase, reading the afl-fuzz status screen, or moving on after libFuzzer has plateaued.
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。
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
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。
Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).
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。
Sets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.
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。
Augments Trailmark code graphs with external audit findings from SARIF static analysis results, weAudit annotation files, and version-gated Trailmark 0.4.x binary-analysis graph exports. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, importing binary graph findings, cross-referencing Semgrep, CodeQL, or binary-analysis findings with call graph data, or visualizing audit findings in the context of code structure.
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。