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 ai-analyst-lab/ai-analyst-plugin --skill metric-specgit clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-pluginWrote 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/ai-analyst-lab/ai-analyst-plugin/metric-spec)<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst-plugin/metric-spec"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/metric-spec/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/ai-analyst-lab/ai-analyst-plugin/metric-spec"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/metric-spec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00079 | $0.04340 |
| Opus 5 | $0.00039 | $0.02170 |
| Sonnet 5 | $0.00016 | $0.00868 |
| Haiku 4.5 | $0.00008 | $0.00434 |
Grade A, and why
metric-spec 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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Metric Spec
Purpose
Define any metric clearly and completely using a standardized template so there is no ambiguity about what is being measured, how it's calculated, or how to interpret it.
When to Use
Apply this skill when defining a new metric, when a metric is referenced without a clear definition, or when different people are using the same metric name to mean different things. Every metric used in an analysis should have a spec.
Instructions
Metric Spec Template
## Metric: [Name]
### Definition
**Plain English:** [One sentence a non-technical person can understand]
**Formula:** [Exact calculation]
**Owner:** [team or person accountable for this metric]
**Granularity:** [the grain it is reported at: per user / per order / daily / weekly ...]
### Components
| Component | Definition | Source |
|-----------|-----------|--------|
| **Numerator** | [What's being counted/summed in the top] | [Table.column] |
| **Denominator** | [What's being counted in the bottom (if ratio)] | [Table.column] |
| **Unit of analysis** | [What does one row represent?] | [e.g., per user, per session, per order] |
### Segmentation Dimensions
| Dimension | Values | Why |
|-----------|--------|-----|
| [e.g., Device type] | [mobile, desktop, tablet] | [Different UX → different conversion] |
| [e.g., Acquisition channel] | [organic, paid, referral] | [Different intent → different behavior] |
| [e.g., Geography] | [US, EU, APAC] | [Different markets → different baselines] |
### Data Source
- **Primary table:** [schema.table_name]
- **Key columns:** [list]
- **Refresh cadence:** [real-time / hourly / daily / weekly]
- **Latency:** [how delayed is the data?]
- **Reference query:** [SQL query that computes this metric — the canonical implementation]
### Guardrails
| Condition | Value | Action |
|-----------|-------|--------|
| **Healthy** | [e.g., >3.5%] | No action needed |
| **Watch** | [e.g., 2.5-3.5%] | Monitor weekly, investigate if persists >2 weeks |
| **Investigate** | [e.g., <2.5%] | Root cause analysis within 48 hours |
| **Alert** | [e.g., <1.5%] | Escalate to leadership, immediate investigation |
**Typical range:** [the band the metric normally lives in, with its basis: "3.4-4.2% over the last 6 months"]
### Known Limitations
- [Limitation 1: e.g., "Does not include guest checkouts — only registered users"]
- [Limitation 2: e.g., "Affected by bot traffic; filter using is_bot flag"]
- [Limitation 3: e.g., "Denominator changes when new markets launch — compare like-for-like"]
### Related Metrics
- [Upstream: what drives this metric?]
- [Downstream: what does this metric drive?]
- [Alternative: other ways to measure the same concept]
### Driver Decomposition (Optional)
If this is a key business metric, decompose it into its drivers to enable faster diagnosis when the metric changes.
**Decomposition type:** [Multiplicative / Additive]
| Driver | Formula | Relationship | Data Source |
|--------|---------|-------------|-------------|
| [driver 1] | [formula] | [× / +] | [table.column] |
| [driver 2] | [formula] | [× / +] | [table.column] |
| [driver 3] | [formula] | [× / +] | [table.column] |
**Diagnostic rule:** If [parent metric] drops, check these drivers in order:
1. [driver 1] — [why this is the most likely cause / highest leverage]
2. [driver 2] — [what changes in this driver would look like]
3. [driver 3] — [least common but possible]
**Verification:** [parent metric] = [driver 1] × [driver 2] × [driver 3] (for multiplicative)
or [parent metric] = [driver 1] + [driver 2] + [driver 3] (for additive)
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 · 402 lines · 79 tokens per session scan A 6d2f1917a733
metric-spec is a skill published in the GitHub repository ai-analyst-lab/ai-analyst-plugin (32 stars, last pushed 13d ago), licensed MIT. It adds 79 tokens to every session and 4,340 once invoked, about $0.0004 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 2026-08-30.
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