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 daddia/claude-for-strategy --skill metrics-glossarygit clone --depth 1 https://github.com/daddia/claude-for-strategyWrote 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/daddia/claude-for-strategy/metrics-glossary)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/metrics-glossary"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/metrics-glossary/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/daddia/claude-for-strategy/metrics-glossary"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/metrics-glossary.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 | $0.00057 | $0.00896 |
| Opus 5 | $0.00028 | $0.00448 |
| Sonnet 5 | $0.00011 | $0.00179 |
| Haiku 4.5 | $0.00006 | $0.00090 |
Grade A, and why
metrics-glossary 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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metrics Glossary
When to use
Single source-of-truth glossary — exact formula, source, owner, cadence — so two people calculate the same number.
What this skill does not do
- Does not build KPI trees — route to
/performance:kpi-tree-builder. - Does not pick ambiguous formulas silently — flags for clarification.
- Does not duplicate OKR instrumentation —
okr:instrument-metricsdefers here when performance installed.
Preconditions
| Input | If missing |
|---|---|
| Metrics to document | Ask user to list |
| Performance practice profile | Proceed; flag [PROVISIONAL] on category codes |
Provisional mode
Ambiguous formulas: AMBIGUITY FLAGS — do not finalize entry until clarified.
Trust spine
- Confidence bands (
structured-aggregation):- High: Every metric has exact formula, source, owner, cadence, caveats.
- Medium: Some ambiguities or near-duplicates flagged.
- Low: Formulas described not calculated — halt until literal formula provided.
- Failure modes:
- Strategic advice vs. support: Glossary is draft for metric governance approval.
- Client confidentiality: Definitions may expose internal systems — CONFIDENTIAL header.
- Accountability gap: Owner named per metric.
- Analytical Rigor: Completeness check; near-duplicate consolidation flagged.
- Incentive Gaming: N/A — definition focus.
- Escalation triggers: Two metrics calculating same thing under different names — flag consolidation.
Workflow
- Read practice profile for category codes and known metrics.
- Per metric: name, code, exact formula, source, owner, refresh, caveats.
- Flag ambiguous formulas — ask, don't pick silently.
- Check near-duplicates for consolidation.
- Completeness check before output.
Output format
CONFIDENCE: [defensible recommendation | structured first pass]
METRIC: [name] [category code]
Formula: [exact calculation]
Source: [system/sheet/table]
Owner: [name/role]
Refresh: [cadence]
Caveats: [...]
AMBIGUITY FLAGS: [...]
NEAR-DUPLICATE FLAGS: [...]
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 · 104 lines · 57 tokens per session scan A 5cb60d799788
metrics-glossary is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 896 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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