▣ Skill Poison — Knowledge ExplorerONLINE / EDITION 10
AGENT SKILLS / SECURITY
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From scanner warning to defensible finding

How to write a review result that does not confuse a heuristic, a trace, an attempted action, and impact.

THE THREE THINGS TO KEEP
  • Label a static warning by its evidence.
  • Document every scanned and missing file.
  • Separate attempted action from verified impact.

Start with the claim the tool actually makes

Static tools may flag a suspicious string, trace data to a sink, or classify a finding by evidence level. An OWASP GenAI Project solution listing describes SecureAI-Scan using proven, likely, and heuristic labels. Those labels are part of that tool’s reporting model; the listing is not an independent validation of its accuracy.

Preserve coverage and unknowns

Record scanner revision, enabled checks, every file it saw, unsupported formats, optional remote services, and errors. A clean result from a partial file set is not a complete-package review. The OmniCogg case file illustrates why hidden or omitted file content can change the scope of a scan.

Write a finding in layers

For each finding, preserve artifact and revision; exact observed text or code; the proposed data/action path; what was tested; what the runtime permitted; and any verified effect. Mark missing steps as unknown. A plausible exfiltration path and a verified disclosure are different assertions.

Make the next decision bounded

If evidence is insufficient, hold the exact revision for review. If a test reproduces an unsafe action, address the carrier and enforce the permission boundary. If it is a false alarm, document why and add a regression example. A checked worksheet records a human judgment; it does not perform scanning.

Sources & scope

This guide combines editorial explanation and practical review suggestions. Linked sources support the underlying concepts; this site has not independently replicated their experiments.

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SecureAI-Scan — OWASP GenAI Security Project solution listingDocumentation · OWASP GenAI Security Project solution directory
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S19
Cisco Skill Scanner — scope, engines, and limitationsDocumentation · Cisco AI Defense maintainers
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Anatomy of a Deception: Uncovering the omnicogg Dropper in ClawHubIndustry research · David Cohen · JFrog Security Research
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RouteGuard: Internal-Signal Detection of Skill Poisoning in LLM AgentsPreprint · Wenjie Xiao et al.
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