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 bjorn-ingmanson/thefroject-plugins --skill health-score-buildergit clone --depth 1 https://github.com/bjorn-ingmanson/thefroject-pluginsWrote 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/bjorn-ingmanson/thefroject-plugins/health-score-builder)<a href="https://agentmods.dev/skills/bjorn-ingmanson/thefroject-plugins/health-score-builder"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/health-score-builder/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/bjorn-ingmanson/thefroject-plugins/health-score-builder"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/health-score-builder.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 | $0.00050 | $0.01205 |
| Opus 5 | $0.00025 | $0.00602 |
| Sonnet 5 | $0.00010 | $0.00241 |
| Haiku 4.5 | $0.00005 | $0.00120 |
Grade A, and why
health-score-builder 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 10d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Health Score Builder
Create a quantitative health score that turns scattered signals into a single actionable number per customer.
Input Required
- Customer data — usage metrics, support tickets, engagement history (check
context/current-data.md) - Product data — feature adoption, login frequency, key actions
- Financial data — contract value, payment history, expansion/contraction
- Relationship data — stakeholder engagement, NPS/CSAT responses, meeting cadence
- Segment definitions — how customers are grouped (size, industry, tier)
Model Design
Step 1 — Define Health Dimensions
Score each dimension independently, then combine:
| Dimension | Weight | Signals | Why It Matters |
|---|---|---|---|
| Product Adoption | 30% | DAU/MAU, feature usage, depth of use | Customers who use the product stay |
| Support Health | 20% | Ticket volume, severity, resolution time, sentiment | Rising tickets = rising frustration |
| Engagement | 20% | Meeting attendance, email responsiveness, champion activity | Engaged customers renew |
| Financial | 15% | Payment on time, contract growth, upsell conversations | Money signals commitment |
| Relationship | 15% | Stakeholder map depth, NPS score, executive access | Strong relationships survive problems |
Adjust weights based on your product and sales motion. Usage-heavy products should weight adoption higher. Service-heavy businesses should weight engagement higher.
Step 2 — Define Scoring Criteria Per Dimension
Product Adoption (0-100):
| Score Range | Criteria |
|---|---|
| 80-100 | Using core features weekly, adopted 3+ modules, growing usage |
| 60-79 | Using core features, but shallow. 1-2 modules only |
| 40-59 | Sporadic usage, declining trend, limited feature adoption |
| 20-39 | Minimal usage, only 1-2 users active, no growth |
| 0-19 | No meaningful usage in the past 30 days |
Support Health (0-100):
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.
- 10d ago First seen · 123 lines · 50 tokens per session scan A a942dca78261
health-score-builder is a skill published in the GitHub repository bjorn-ingmanson/thefroject-plugins (1 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,205 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 2026-08-31.
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