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 cnfeat/top-pm-skills --skill cs-health-scorecardgit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote 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/cnfeat/top-pm-skills/cs-health-scorecard)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/cs-health-scorecard"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/cs-health-scorecard/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/cnfeat/top-pm-skills/cs-health-scorecard"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/cs-health-scorecard.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 | $0.00067 | $0.01481 |
| Opus 5 | $0.00034 | $0.00740 |
| Sonnet 5 | $0.00013 | $0.00296 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
cs-health-scorecard 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 9d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Health Scorecard Skill
Produce a structured, data-driven health scorecard for a customer account — giving the CSM and leadership a clear view of renewal risk, expansion potential, and the actions needed to move the account in the right direction.
Required Inputs
Ask for these if not already provided:
- Account name and tier (enterprise / mid-market / SMB)
- Contract value (ARR) and renewal date
- Product usage data — logins, DAU/MAU ratio, key feature adoption
- Support data — open tickets, CSAT or NPS score, recent escalations
- Engagement data — last QBR date, executive sponsor status, champion name
- Commercial data — payment history, expansion conversations, seats used vs. licensed
- Any known risks or recent changes at the account
Scoring Framework
Score each dimension 1–5. Weight as shown. Calculate weighted total out of 100.
| Dimension | Weight | What to Score |
|---|---|---|
| Product Adoption | 30% | DAU/MAU ratio, breadth of features used, power users identified |
| Engagement | 20% | QBR cadence, executive sponsor active, champion strength |
| Outcomes | 20% | Customer hitting their stated goals / success metrics |
| Support Health | 15% | Ticket volume trend, unresolved escalations, CSAT |
| Commercial | 15% | On-time payments, seats utilised, expansion signals |
Score → RAG conversion:
- 80–100: Green (healthy, renew likely)
- 60–79: Amber (at risk, needs attention)
- 0–59: Red (high churn risk, escalate)
Output Format
Customer Health Scorecard: [Account Name]
CSM: [Name] | Tier: [Enterprise / Mid-Market / SMB] ARR: £/$/€[X] | Renewal date: [Date] | Days to renewal: [N] Overall health: [Green / Amber / Red] — [Score]/100 Last updated: [Date]
Health Score Summary
| Dimension | Score (1–5) | Weight | Weighted Score | Trend |
|---|---|---|---|---|
| Product Adoption | [1–5] | 30% | [X] | ↑ / → / ↓ |
| Engagement | [1–5] | 20% | [X] | ↑ / → / ↓ |
| Outcomes | [1–5] | 20% | [X] | ↑ / → / ↓ |
| Support Health | [1–5] | 15% | [X] | ↑ / → / ↓ |
| Commercial | [1–5] | 15% | [X] | ↑ / → / ↓ |
| Total | — | 100% | [X]/100 |
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.
- 9d ago First seen · 150 lines · 67 tokens per session scan A 1018eee06381
cs-health-scorecard is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 1,481 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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