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Fp Check

Trail of BitsOfficialPublished by Trail of Bits

  • Skill
  • Review and audit
  • Security
  • CC-BY-SA-4.0
  • No issues found

From the author

Systematically verifies suspected security bugs to eliminate false positives, producing a TRUE POSITIVE or FALSE POSITIVE verdict with documented evidence for each. Use when asked whether a specific finding is real, exploitable, or a false positive, or to verify or validate a suspected vulnerability — not for hunting or discovering new bugs.
— the description by Trail of Bits

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

fp-check provides a structured methodology for validating suspected security bugs. It guides the user through a rigorous verification process to determine if a finding is a true positive or a false positive, supported by documented evidence. The skill distinguishes between standard and deep verification paths based on the complexity of the bug, ensuring that each claim is thoroughly analyzed against its specific context, data flow, and threat model.

What it does

  • Restates and clarifies vulnerability claims to identify potential misunderstandings.
  • Routes verification tasks between standard and deep paths based on bug complexity.
  • Performs data flow analysis to trace inputs from source to sink.
  • Applies class-specific verification requirements for various bug types.
  • Produces a final verdict of TRUE POSITIVE or FALSE POSITIVE with supporting evidence.
  • Evaluates findings against mandatory gate reviews.

When to use it

  • When you need to verify if a specific security finding is real or exploitable.
  • When you need to confirm if a reported bug is a false positive.
  • When you have a clear, specific vulnerability claim that requires validation.
  • When standard verification steps are insufficient for complex or cross-component bugs.

Advantages

  • Eliminates guesswork by requiring evidence-based verification.
  • Prevents common analytical errors through a structured devil's advocate review.
  • Provides a clear, repeatable process for triaging multiple suspected bugs.
  • Ensures context-aware analysis by considering architectural and historical factors.

Usage examples

“Verify if the reported heap buffer overflow in parse_header is a true positive.”
The agent will restate the claim, perform data flow analysis, check the specific memory corruption conditions, and provide a verdict with evidence.
“Is this SQL injection finding a false positive?”
The agent will trace the data flow from the input source to the database sink and verify if the input is properly sanitized or parameterized.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/trailofbits/fp-check/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip fp-check.zip -d .agents/skills

Documentation by Trail of Bits

False Positive Check

When to Use

  • "Is this bug real?" or "is this a true positive?"

  • "Is this a false positive?" or "verify this finding"

  • "Check if this vulnerability is exploitable"

  • Any request to verify or validate a specific suspected bug

When NOT to Use

  • Finding or hunting for bugs ("find bugs", "security analysis", "audit code")

  • General code review for style, performance, or maintainability

  • Feature development, refactoring, or non-security tasks

  • When the user explicitly asks for a quick scan without verification

Rationalizations to Reject

If you catch yourself thinking any of these, STOP.

RationalizationWhy It's WrongRequired Action
"Rapid analysis of remaining bugs"Every bug gets full verificationReturn to task list, verify next bug through all phases
"This pattern looks dangerous, so it's a vulnerability"Pattern recognition is not analysisComplete data flow tracing before any conclusion
"Skipping full verification for efficiency"No partial analysis allowedExecute all steps per the chosen verification path
"The code looks unsafe, reporting without tracing data flow"Unsafe-looking code may have upstream validationTrace the complete path from source to sink
"Similar code was vulnerable elsewhere"Each context has different validation, callers, and protectionsVerify this specific instance independently
"This is clearly critical"LLMs are biased toward seeing bugs and overrating severityComplete devil's advocate review; prove it with evidence

Step 0: Understand the Claim and Context

Before any analysis, restate the bug in your own words. If you cannot do this clearly, ask the user for clarification. Half of false positives collapse at this step — the claim doesn't make coherent sense when restated precisely.

Document:

  • What is the exact vulnerability claim? (e.g., "heap buffer overflow in parse_header() when content_length exceeds 4096")

  • What is the alleged root cause? (e.g., "missing bounds check before memcpy at line 142")

  • What is the supposed trigger? (e.g., "attacker sends HTTP request with oversized Content-Length header")

  • What is the claimed impact? (e.g., "remote code execution via controlled heap corruption")

  • What is the threat model? What privilege level does this code run at? Is it sandboxed? What can the attacker already do before triggering this bug? (e.g., "unauthenticated remote attacker vs privileged local user"; "runs inside Chrome renderer sandbox" vs "runs as root with no sandbox")

  • What is the bug class? Classify the bug and consult bug-class-verification.md for class-specific verification requirements that supplement the generic phases below.

  • Execution context: When and how is this code path reached during normal execution?

  • Caller analysis: What functions call this code and what input constraints do they impose?

  • Architectural context: Is this part of a larger security system with multiple protection layers?

  • Historical context: Any recent changes, known issues, or previous security reviews of this code area?

Route: Standard vs Deep Verification

After Step 0, choose a verification path.

Standard Verification

Use when ALL of these hold:

  • Clear, specific vulnerability claim (not vague or ambiguous)

  • Single component — no cross-component interaction in the bug path

  • Well-understood bug class (buffer overflow, SQL injection, XSS, integer overflow, etc.)

  • No concurrency or async involved in the trigger

  • Straightforward data flow from source to sink

Follow standard-verification.md. No task tracking — work through the linear checklist sequentially, documenting findings inline.

Deep Verification

Use when ANY of these hold:

  • Ambiguous claim that could be interpreted multiple ways

  • Cross-component bug path (data flows through 3+ modules or services)

  • Race conditions, TOCTOU, or concurrency in the trigger mechanism

  • Logic bugs without a clear spec to verify against

  • Standard verification was inconclusive or escalated

  • User explicitly requests full verification

Follow deep-verification.md. Track each phase as a task with explicit dependencies, and execute the phases using the plugin's analysis agents.

Default

Start with standard. Standard verification has two built-in escalation checkpoints that route to deep when complexity exceeds the linear checklist.

Batch Triage

When verifying multiple bugs at once:

  1. Run Step 0 for all bugs first — restating each claim often collapses obvious false positives immediately

  2. Route each bug independently (some may be standard, others deep)

  3. Process all standard-routed bugs first, then deep-routed bugs

  4. After all bugs are verified, check for exploit chains — findings that individually failed gate review may combine to form a viable attack

Final Summary

After processing ALL suspected bugs, provide:

  1. Counts: X TRUE POSITIVES, Y FALSE POSITIVES

  2. TRUE POSITIVE list: Each with brief vulnerability description

  3. FALSE POSITIVE list: Each with brief reason for rejection

References

  • Standard Verification — Linear single-pass checklist for straightforward bugs

  • Deep Verification — Full task-based orchestration for complex bugs

  • Gate Reviews — Six mandatory gates and verdict format

  • Bug-Class Verification — Class-specific verification requirements for memory corruption, logic bugs, race conditions, integer issues, crypto, injection, info disclosure, DoS, and deserialization

  • False Positive Patterns — 13-item checklist and red flags for common false positive patterns

  • Evidence Templates — Documentation templates for data flow, mathematical proofs, attacker control, and devil's advocate reviews

Files

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools

Security

No issues found by our static scan· No issues found

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Attribution and licence

Published by
Trail of Bits
Publisher
Trail of Bits (Official)
Source
trailofbits/skills · plugins/fp-check/skills/fp-check · commit e4dd0bb
Licence
Creative Commons Attribution-ShareAlike 4.0 International (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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Download ZIP

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