Individual skill
session-health
Check whether the current session has coherent guidance, focus, handoff state, working-tree ownership, and enough context to proceed safely. Use when starting, resuming, or diagnosing a confused session. Not for auditing the machine or deployed AI infrastructure; use $system-audit.
skills/session-health/SKILL.md
Source commit 08dd9bdf9367f7321c27b7db8c08a125598a613f
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 151
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-research Repository topic
- ai-tools Repository topic
- claude Repository topic
- claude-code Repository topic
- latex Repository topic
- phd Repository topic
- research-workflow Repository topic
- codex Repository topic
- devops Derived category
- security Derived category
Files and excerpt
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SKILL.mdcore · 4,267 bytes
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# Context Status: Session Health Check
On-demand diagnostic showing context usage, preservation state, and open work items. Fast and lightweight — no vault queries.
## What to Check
### 1. Context Usage Estimate (host-aware)
Use the active client's native context meter when it is exposed. A client adapter may provide a tool-call counter, but it is optional and must never be treated as shared memory. If no meter is available, report `SKIPPED (client does not expose context telemetry)`; do not guess a percentage from conversation length.
Calculate:
- Tool calls so far
- Estimated percentage (calls / 150)
- Which thresholds have fired (from the `fired` array)