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 jeremylongworth-source/AgentSkills --skill metric-definitiongit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/metric-definition)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/metric-definition"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/metric-definition/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/jeremylongworth-source/agentskills/metric-definition"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/metric-definition.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 | $0.00049 | $0.00303 |
| Opus 5 | $0.00024 | $0.00151 |
| Sonnet 5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
metric-definition 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 7d 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.
What it actually says
Metric Definition
Core Workflow
- Identify metric purpose, decision use, audience, owner, and source system.
- Define formula, grain, time window, filters, inclusions, exclusions, and segmentation.
- Specify source of truth, freshness, data quality checks, and known caveats.
- Distinguish input metrics, output metrics, leading indicators, and lagging indicators.
- Add examples and counterexamples so users avoid common misinterpretations.
- Define review cadence and change-control expectations.
Safety Rules
- Do not invent formulas, source systems, baselines, or business definitions.
- Do not publish financial, investor, compliance, or compensation metrics without reviewer confirmation.
- Flag metrics that can be gamed or misread without segmentation.
Deliverable Shape
For metric definitions, provide:
- Metric name and purpose
- Formula and grain
- Source of truth
- Filters and exclusions
- Segments and time windows
- Caveats and quality checks
- Owner and review cadence
- Example interpretation
References
- Read
references/metric-definition-checklist.mdwhen creating or reviewing a metrics dictionary.
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.
- 7d ago First seen · 44 lines · 49 tokens per session scan A 116bb7c9f152
metric-definition is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 49 tokens to every session and 303 once invoked, about $0.0002 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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