Individual skill
audit-swan
Checks whether a Swan workspace is structurally healthy. Use for configuration audits that surface missing knowledge, disconnected integrations, exhausted senders, broken triggers, sparse CRM data, and credit or subscription issues.
skills/ido-goldberg/audit-swan/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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SKILL.mdcore · 4,748 bytes
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## Instructions
### What this skill checks
Eight structural dimensions. Each is small — most produce 0-2 findings. Process them one at a time, write down the verdict (OK / WARN / FAIL) + a one-line summary, and move on. Do not try to gather all eight dimensions' raw data before reasoning. By the time you reach the report, you should have eight short verdicts in hand, nothing more.
---
### Dimension 1 — Subscription and credits
`swan-get-subscription`. Check three things:
- Plan tier (FREE / paid).
- Credit balance + recent burn rate. If you don't have burn data in the response, estimate from a small `swan-search-sequences` recent-activity sample (page 10) — don't pull the full log.
- Feature flags vs. what active plays use.