metric-spec

metric-spec is a skill for Claude Code from ai-analyst-lab/ai-analyst-plugin. It costs 79 tokens per session (4,340 once invoked), scanned A, original, MIT.

A skill for writing complete, standard definitions of measurements. It records plain-language meaning, formulas, counted inputs, reporting level, segments, and interpretation.

In plain words
What is it for?
Use it to define a new metric, document an existing one, or agree on how a measurement should be calculated and understood.
Why use it?
It removes ambiguity when different people use the same metric name to mean different things.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-analyst-plus plugin — 44 skills, 1 command, 13 agents shipped together

Good fit Use it to define a new metric, document an existing one, or agree on how a measurement should be calculated and understood.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-analyst-lab/ai-analyst-plugin/metric-spec
Install

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.

Any agent
npx skills add ai-analyst-lab/ai-analyst-plugin --skill metric-spec
Clone the repo
git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-plugin

Made for: Claude Code.

Or install ai-analyst-plus, the plugin that ships this one along with the rest of its 44 skills, 1 command, 13 agents.

Wrote 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.

agentmods badge for metric-spec

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/metric-spec/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst-plugin/metric-spec)
Your own site
<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.

agentmods 80×15 button for metric-spec

Your own site · 80×15
<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>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,340 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 10d ago against content hash 6d2f1917a733, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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.

ai-analyst-plus/skills/metric-spec/SKILL.md · 402 lines

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)

Read the full file on GitHub · 402 lines

Changes

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.

  1. 10d ago First seen · 402 lines · 79 tokens per session scan A 6d2f1917a733

Subscribe to this mod's changes

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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