Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cass-2003/local-workflow-skill --skill org-health-diagnosticgit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cass-2003/local-workflow-skill/org-health-diagnostic)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/org-health-diagnostic"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/org-health-diagnostic/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/org-health-diagnostic"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/org-health-diagnostic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.02246 |
| Opus 5 | $0.00032 | $0.01123 |
| Sonnet 5 | $0.00013 | $0.00449 |
| Haiku 4.5 | $0.00006 | $0.00225 |
Grade A, and why
org-health-diagnostic scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Org Health Diagnostic
Eight dimensions. Traffic lights. Real benchmarks. Surfaces the problems you don't know you have.
Keywords
org health, organizational health, health diagnostic, health dashboard, health check, company health, functional health, team health, startup health, health scorecard, health assessment, risk dashboard
Quick Start
python scripts/health_scorer.py # Guided CLI — enter metrics, get scored dashboard
python scripts/health_scorer.py --json # Output raw JSON for integration
Or describe your metrics in natural language:
"Run an org health check" — paste your key metrics or answer prompts "Score our [financial|revenue|product|engineering|people|ops|security|market] health" — single-dimension deep dive
The 8 Dimensions
1. 💰 Financial Health (CFO)
What it measures: Can we fund operations and invest in growth?
Key metrics:
- Runway — months at current burn (Green: >12, Yellow: 6-12, Red: <6)
- Burn multiple — net burn / net new ARR (Green: <1.5x, Yellow: 1.5-2.5x, Red: >2.5x)
- Gross margin — SaaS target: >65% (Green: >70%, Yellow: 55-70%, Red: <55%)
- MoM growth rate — contextual by stage (see benchmarks)
- Revenue concentration — top customer % of ARR (Green: <15%, Yellow: 15-25%, Red: >25%)
2. 📈 Revenue Health (CRO)
What it measures: Are customers staying, growing, and recommending us?
Key metrics:
- NRR (Net Revenue Retention) — Green: >110%, Yellow: 100-110%, Red: <100%
- Logo churn rate (annualized) — Green: <5%, Yellow: 5-10%, Red: >10%
- Pipeline coverage (next quarter) — Green: >3x, Yellow: 2-3x, Red: <2x
- CAC payback period — Green: <12 months, Yellow: 12-18, Red: >18 months
- Average ACV trend — directional: growing, flat, declining
3. 🚀 Product Health (CPO)
What it measures: Do customers love and use the product?
Key metrics:
- NPS — Green: >40, Yellow: 20-40, Red: <20
- DAU/MAU ratio — engagement proxy (Green: >40%, Yellow: 20-40%, Red: <20%)
- Core feature adoption — % of users using primary value feature (Green: >60%)
- Time-to-value — days from signup to first core action (lower is better)
- Customer satisfaction (CSAT) — Green: >4.2/5, Yellow: 3.5-4.2, Red: <3.5
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 177 lines · 63 tokens per session scan A f6494de73794
org-health-diagnostic is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 2,246 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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