harness
This skill should be used for multi-session autonomous agent work requiring progress checkpointing, failure recovery, and task dependency management. Triggers on '/harness' command, or when a task involves many subtasks needing progress persistence, sleep/resume cycles across context windows, recovery from mid-task failures with partial state, or distributed work across multiple agent sessions. Synthesized from Anthropic and OpenAI engineering practices for long-running agents.
68
81%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The required runtime workflow for context injection is the `SessionStart` hook (`hooks/harness-sessionstart.py`) which reads `harness-progress.txt` and `harness-tasks.json` from the project workspace (attacker-controlled if the user runs the skill in an untrusted repo) and uses their tail text as `hookSpecificOutput.additionalContext` for the agent’s LLM context.
- Repository
- stellarlinkco/myclaude
- Commit
f2e75c1
- Audited
- Security analysis
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