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Individual AI skill · AI for Inteligencia e Investigación

audit-augmentation

Projects findings from external tools (SARIF) and human auditors (weAudit) onto Trailmark code graphs as annotations and subgraphs.

Source content · review pending Source language: EN

Free ZIP · One canonical method · Usage example · Installation guide · Licence notices

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How to ask with this skill installed

Installing the skill gives your AI a method. Your request still has to provide the case-specific facts, constraints and expected output.

1Name the real task

Describe the decision or deliverable, not just the topic.

2Provide the evidence

Add source material, audience, limits and known facts.

3Define done

Set format, quality criteria and checks.

Adaptable starting prompt Replace the brackets with your case

When to use it

  • Importing Semgrep, CodeQL, or other SARIF-producing tool results into a graph
  • Importing weAudit audit annotations into a graph
  • Cross-referencing static analysis findings with blast radius or taint data
  • Querying which functions have high-severity findings
  • Visualizing audit coverage alongside code structure

When not to use it

  • Running static analysis tools (use semgrep/codeql directly, then import)
  • Building the code graph itself (use the trailmark skill)
  • Generating diagrams (use the diagramming-code skill after augmenting)

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AI for Inteligencia e Investigación

This skill plus the other methods selected for this professional area.

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Where will you use it?

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Catalogue path
skills/transversal/knowledge/trailofbits-skills/plugins/trailmark/skills/audit-augmentation
Ficha origin
Extracted from SKILL.md
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