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trailmark-finding-triage

Assess a single suspected security issue using Trailmark's graph of code relationships. Gather evidence about reachable paths, input flow, and potential impact, then receive a priority verdict and a list of remaining manual checks.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Performs graph-assisted triage of a single security finding, SARIF result, weAudit annotation, suspicious function, or report excerpt using Trailmark reachability, entrypoint paths, taint, privilege-boundary, blast-radius, caller/callee, and neighborhood evidence. Use when deciding whether one candidate issue is reachable, prioritizing a finding before PoC work, preparing evidence for exploit validation, or checking whether a static-analysis result is actionable.

查看安装方法

适用场景

  • Prioritizing a static analysis finding before proof-of-concept work
  • Checking whether entry points can reach a suspicious function
  • Preparing code evidence for exploit validation
  • Assessing a finding from SARIF, weAudit, or a report excerpt

包含的文件(8)

  • SKILL.md7.6 KB
  • agents/openai.yaml245 B
  • assets/trail-of-bits-mark.svg3.0 KB
  • references/input-normalization.md1.8 KB
  • references/output-format.md1.7 KB
  • references/query-recipes.md2.4 KB
  • scripts/evidence_packet.py10.2 KB
  • scripts/test_evidence_packet.py10.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Trailmark Finding Triage

Build a concise graph evidence packet for one candidate finding. This skill answers whether the affected code is reachable, what graph evidence supports or weakens the claim, and what manual review is still required before calling the issue exploitable.

When to Use

  • Triage one static-analysis result before spending PoC time
  • Check whether a manual finding is entrypoint-reachable
  • Build an evidence packet for PoC work
  • Review a single suspicious function discovered during manual audit
  • Decide whether one issue should be promoted, deprioritized, or treated as part of a broader chain analysis

When NOT to Use

  • Multiple weak findings might compose into a stronger chain. Use a chain or composition workflow instead.
  • The user wants a full audit. Use an audit or design-review workflow instead.
  • The user wants remediation verification for a known finding. Use a remediation-review workflow instead.
  • The target is a PR or branch diff. Use graph-evolution plus a differential review workflow.
  • No concrete finding, function, file/line, or suspicious sink exists yet. Use discovery skills first.

Rationalizations to Reject

RationalizationWhy It Is WrongRequired Action
"The scanner says high severity, so reachability is obvious"Static findings need graph and code context before promotionBind the finding to a graph node and check entrypoint paths
"No entrypoint path means impossible"It may mean parser, proxy, or dynamic dispatch limitationsReport the limitation separately from reachability
"An auth check appears on the path, so the issue is safe"The check may enforce the wrong predicate or be bypassed by another pathTreat validation/auth as review targets, not proof
"One reachable path is enough for a PoC claim"The path still needs attacker-controlled inputs and compatible preconditionsSeparate graph reachability from exploitability
"This is probably a chain"Single-finding triage stops at one candidateHand off related findings to a composition workflow

Workflow

Finding Triage Progress:
- [ ] Step 1: Normalize the candidate
- [ ] Step 2: Build or reuse the Trailmark graph
- [ ] Step 3: Bind the candidate to graph node(s)
- [ ] Step 4: Analyze reachability, taint, boundaries, and blast radius
- [ ] Step 5: Decide and emit the evidence packet

Step 1: Normalize the Candidate

Accept file/line, function name, SARIF result, weAudit annotation, Markdown finding excerpt, or a manual claim. Normalize it to:

  • title
  • source type
  • file path and line range if present
  • function or node hint
  • suspected source, sink, or asset
  • claimed impact

If there is no concrete code anchor, stop and ask for one.

For input handling details, see references/input-normalization.md.

Shortcut for Steps 2–4 (file/line findings)

For file/line anchors, run the bundled script. It builds the graph and preanalysis once, binds every finding, and prints the Graph Evidence fields as JSON: all matching nodes and the primary one (the node containing the first line, then the narrowest), entrypoint paths with each entrypoint's trust level, tainted / entrypoint_reachable / privilege_boundary / high_blast_radius membership, callers, callees, downstream nodes, and the Trailmark version. Pass several findings in one call rather than rebuilding the graph per finding.

uv run --no-project "{baseDir}/scripts/evidence_packet.py" --target <dir> --finding <file>:<line>[-<end>] --out evidence.json [--finding ...] [--language auto]

With --out, the complete packet stays on disk and stdout contains only delivery counts. Read relevant finding records from that file. Without --out, stdout is the full packet. Relative anchors may be target- or working-directory-relative; ambiguous existing paths are rejected. Choose --path-base target or cwd, or use an absolute path. Lines must be positive and ordered; column syntax is not supported. Containers cover module/class/contract declarations when no callable overlaps. Inspect binding (exact, nested or ambiguous), binding_kind, all matches, unavailable signals and parser diagnostic limitations before judging the result. A zero-node graph is a failure. Batching shares graph work only: write a separate human verdict for each finding.

A finding that binds to nothing comes back with bound_node: null and the reason. The script judges nothing: read the bound code and its callers, decide attacker control, and treat an empty path list as a limitation to explain (dynamic dispatch, proxies, missing entrypoint models), not as proof. Use the steps below for inputs the script does not take (function names, SARIF via audit-augmentation) and for queries it does not run (connect_subgraphs).

Step 2: Build Or Reuse The Graph

Use the public trailmark skill workflow. Prefer an existing fresh exported graph or .trailmark/ artifact when present. Otherwise build a graph with language="auto" or the target's explicit language list, then run engine.preanalysis().

Record the Trailmark version or feature probes used. Feature-gate Trailmark 0.4-only APIs with hasattr() or CLI help checks.

Step 3: Bind The Candidate

Bind by file and line overlap first, then function name plus file. If several nodes match, list every candidate and select the narrowest enclosing node as primary. If no node matches, report a binding limitation instead of guessing.

SARIF and weAudit users should reuse the audit-augmentation workflow for matching and then inspect the annotated node.

Step 4: Analyze Graph Evidence

Run the query recipe in references/query-recipes.md:

  • entrypoint paths to the bound node
  • trust level of each path when available
  • membership in tainted, privilege_boundary, and high_blast_radius subgraphs
  • direct callers and callees
  • high-impact downstream sinks
  • sibling or nearby nodes worth manual review

Do not treat graph reachability as proof of exploitability.

Step 5: Decide And Handoff

Produce one verdict:

VerdictMeaning
PromoteGraph evidence supports reachability and plausible impact
Needs manual reviewEvidence is suggestive but not decisive
DeprioritizeNo reachable path or only trusted/internal paths found
BlockedBinding or Trailmark analysis failed

Write the evidence packet using references/output-format.md.

Hand off promoted PoC-worthy issues to the user's PoC workflow. Hand off related findings to a composition workflow. Hand off repeatable root causes to trailmark-variant-neighborhood, variant-analysis, or a custom Semgrep/CodeQL rule workflow.

Example Prompts

  • "Use Trailmark finding triage on src/Vault.sol:148; I think withdraw can bypass the balance update."
  • "Triage this SARIF result before I spend PoC time: semgrep:error unchecked-transfer in contracts/Bridge.sol line 91."
  • "This report excerpt claims parse_packet is attacker reachable. Build the Trailmark evidence packet and tell me what is still missing."

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中文简介正在准备中。当前显示英语简介。

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