metrics-pull

metrics-pull is a skill for Claude Code, Codex from haabe/mycelium. It costs 43 tokens per session (3,656 once invoked), scanned B, original, MIT.

A tool for collecting snapshots from configured product or market measurement sources. It compares each new snapshot with the previous one and prepares evidence entries for canvas files.

In plain words
What is it for?
Use it for weekly or event-driven metric checks, change detection, and drafting evidence from sources such as GitHub.
Why use it?
It replaces manually checking dashboards with dated, source-linked changes that can be compared over time. It also highlights signals that have no clear explanation.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the mycelium plugin — 54 skills, 6 hooks shipped together

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.

agentmods
npx agentmods add skills/haabe/mycelium/metrics-pull
Any agent
npx skills add haabe/mycelium --skill metrics-pull
Clone the repo
git clone --depth 1 https://github.com/haabe/mycelium

Made for: Claude Code, Codex.

Or install mycelium, the plugin that ships this one along with the rest of its 54 skills, 6 hooks.

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 metrics-pull

README.md
[![agentmods](https://agentmods.dev/badge/skills/haabe/mycelium/metrics-pull.svg)](https://agentmods.dev/skills/haabe/mycelium/metrics-pull)
Your own site
<a href="https://agentmods.dev/skills/haabe/mycelium/metrics-pull"><img src="https://agentmods.dev/badge/skills/haabe/mycelium/metrics-pull.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,656 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
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 $0.00043 $0.03656
Opus 5 $0.00022 $0.01828
Sonnet 5 $0.00009 $0.00731
Haiku 4.5 $0.00004 $0.00366

Measured 4d ago against content hash a8c8f8c5ad9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

metrics-pull scanned grade B with 2 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 4d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

For each source, find the most recent snapshot in `.claude/evals/metrics/<source>/` that is NOT today's. If none exists, skip delta computation for that source and note "first snapshot" in the report.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- All three adapters' `gh api` / `curl` / `stripe` commands issued in one parallel batch.
plugins/mycelium/skills/metrics-pull/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Metrics Pull Skill

Unified pull across all metric sources configured in .claude/jit-tooling/active-metrics.yml. Dispatches to per-source adapters (starting with github), normalizes to a shared schema, computes deltas, and drafts canvas evidence entries.

This skill is the L0/L1/L2/L5 evidence-gathering loop. Replaces manual "I checked the dashboard" reports with timestamped, sourced, diffable data.

When to Use

  • Before /mycelium:diamond-assess at L0/L1/L2/L5, if the newest snapshot is >7 days old.
  • After any public activity (launch, post, conference mention) — typically 24-48h later to capture the bump.
  • Weekly baseline, regardless of activity.
  • Ad hoc when the user wants a fresh read.

Precondition: .claude/jit-tooling/active-metrics.yml exists

If .claude/jit-tooling/active-metrics.yml does NOT exist:

  1. Tell the user: "No metric sources are configured. Running /mycelium:metrics-detect first."
  2. Invoke /mycelium:metrics-detect (or follow ${CLAUDE_PLUGIN_ROOT}/jit-tooling/metrics-detector.md).
  3. After detection completes, return to this skill.

Workflow

Step 1: Load configuration

Read .claude/jit-tooling/active-metrics.yml. Filter to sources with status: active. For each, verify the adapter file exists at ${CLAUDE_PLUGIN_ROOT}/jit-tooling/metrics-adapters/<source>.md. If missing, follow ${CLAUDE_PLUGIN_ROOT}/jit-tooling/metrics-adapters/GENERATING.md to generate it.

If confirmed_by_user: false, ask the user to confirm the source list before proceeding.

Step 2: Dispatch adapters in parallel

For each active source, follow its adapter's "Pull" and "Normalize" sections. Adapters are independent — run them in parallel (bash jobs, multiple tool calls in one message).

Per-source handling:

  • Honor the adapter's credential_requirement. If missing, skip the source and report to user; do not fail the entire pull.
  • Honor the adapter's rate-limit and retry rules.
  • If the adapter returns fetch_status: partial, include partial data but mark the snapshot.

Read the full file on GitHub · 241 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. 4d ago First seen · 241 lines · 43 tokens per session scan B a8c8f8c5ad9c

Subscribe to this mod's changes

metrics-pull is a skill published in the GitHub repository haabe/mycelium (45 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 3,656 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

context-manager

Context management skill providing discovery, fetching, harvesting, extraction, compression, organization, cleanup, and guided workflows for project context.

darrenhinde/OpenAgentsControl · 27 tokens

tao-setup

One-time session setup and orchestration map for the TAO skill bank. Run this first when the TAO skills were installed individually (e.g. from a public skills catalog) so the session gets the cross-skill discovery flow, credential checks, and host preflight that the bundled plugin hook would otherwise inject…

NVIDIA-TAO/tao-skill-bank · 97 tokens

tao-list-capabilities

Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".

NVIDIA-TAO/tao-skill-bank · 70 tokens

find-skills

Discovers, searches, and installs skills from multiple AI agent skill marketplaces (400K+ skills) using the SkillKit CLI. Supports browsing official partner collections (Anthropic, Vercel, Supabase, Stripe, and more) and community repositories, searching by domain or technology, and installing specific skills from…

rohitg00/skillkit · 162 tokens

janitor-discover

Find new skills on GitHub or check a specific skill before installing. Use when the user wants to search for skills, evaluate a skill URL, check overlap and security risk before installing, or compare a local skill against alternatives. Trigger with '/janitor-discover'.

khendzel/skills-janitor · 58 tokens

gingiris-user-interview

🇺🇸 User Interview & Cold-Start Operations Playbook — Battle-tested framework from HeyGen's 937 interviews to PMF. Complete SOP for user screening, interview execution, Beta testing methodology, cold-start user operations, churn analysis, and user grading systems. 🇨🇳 用户访谈与冷启动运营实战手册 — 基于 HeyGen 937 场访谈验证的 PMF…

Gingiris-1031/gingiris-skills · 369 tokens