Install
$ agentstack add skill-truenorth-lj-adaptive-agent-skill-skill-review ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Skill Review
Periodic review of all skills to keep procedural memory accurate and up-to-date.
When to Run
- After completing a batch of tasks across multiple skills
- When you notice a skill has outdated steps or missing context
- Proactively every ~2 weeks as maintenance
Step 1: Inventory
List all skills and their last-modified dates:
for d in skills/*/SKILL.md; do echo "$(stat -f '%Sm' -t '%Y-%m-%d' "$d" 2>/dev/null || date -r "$d" '+%Y-%m-%d') $d"; done | sort -r
Read each SKILL.md briefly (first 30 lines) to understand scope.
Step 2: Cross-Reference with Memory
Check memory files and shared/gotchas.md (if they exist) for lessons that should have flowed into skills but didn't.
For each gotcha or feedback memory:
- Does it relate to a specific skill?
- Is that lesson already captured in the skill's steps or
## Gotchassection? - If not, patch the skill
Step 3: Check for Staleness
For each skill, check:
| Check | How | |-------|-----| | References valid paths? | Grep for file paths mentioned in SKILL.md, verify they exist | | References valid commands? | Check if CLI tools or scripts mentioned still work | | Steps still accurate? | Compare with actual workflow from recent git history | | Gotchas section exists? | If skill has been used multiple times, it should have accumulated lessons |
Step 4: Check for Gaps
Look for recurring multi-step patterns that don't have a skill yet:
git log --oneline -30
If a workflow has been done 3+ times manually, propose creating a skill for it.
Step 5: Consolidate Duplicates
Check for skills with overlapping scope. If two skills cover similar ground, propose merging or clarifying boundaries.
Step 6: Report
Output a summary table:
| Skill | Status | Action Taken |
|-------|--------|-------------|
| /typefully | Updated | Added gotcha about image requirements |
| /codebase | OK | No changes needed |
| /deploy-flow | NEW | Created from repeated manual workflow |
Key Rules
- Read before edit — never patch a skill you haven't read
- Minimal patches — only change what's wrong or missing, don't restructure working skills
- Preserve voice — each skill has its own style; don't homogenize
- Commit after — stage and commit all skill changes with
chore: skill-review — update N skills
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: truenorth-lj
- Source: truenorth-lj/adaptive-agent-skill
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.