thrunt-profile-user — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited thrunt-profile-user (Agent Skill) and scored it 45/100 (orange). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 4 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 4 flagged
A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<objective> Generate a developer behavioral profile from session analysis (or questionnaire) and produce artifacts (USER-PROFILE.md, /thrunt-dev-preferences, copilot-instructions.md section) that personalize the agent's responses.
Routes to the profile-user workflow which orchestrates the full flow: consent gate, session analysis or questionnaire fallback, profile generation, result display, and artifact selection. </objective>
<execution_context> @.github/thrunt-god/workflows/profile-user.md @.github/thrunt-god/references/ui-brand.md </execution_context>
<context> Flags from $ARGUMENTS:
--questionnaire -- Skip session analysis entirely, use questionnaire-only path--refresh -- Rebuild profile even when one exists, backup old profile, show dimension diff</context>
<process> Execute the profile-user workflow end-to-end.
The workflow handles all logic including:
</process>
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.