agent-fitness SKILL.md skillA
agent-fitness from wrg32786/aigent-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wrg32786/aigent-os/agent-fitness@git:20260707.2a2e857Pins git:20260707.2a2e857 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wrg32786/aigent-os
- Path
skills/agent-fitness/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260707.2a2e857, committed Jul 7, 2026
- Size
- 2,405 bytes
- Repository stars
- 24
- License
- MIT
Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# /agent-fitness
Three modes:
**`/agent-fitness extract`** — runs `python3 daemons/agent-fitness-extract.py` to scan the latest JSONL transcript and append new dispatch rows to `memory/AGENT_FITNESS.md`. Idempotent (dedup by session_id + tool_use_id).
**`/agent-fitness`** (no args) — runs `python3 daemons/agent-fitness-report.py`. Surfaces:
- Total dispatches (all-time, last 30d, last 7d)
- Per-agent calibration table (Total / Clean / Blocked / Errored / Partial / Ratio)
- Per-agent recent outcome trend (last 10 dispatches encoded as `c7 b1 e0 p0`)
- ⚠ Repeat-blocker callouts (any agent with >=2 blocks in window)
- Top 3 failing (agent, task) pairs
**`/agent-fitness --days 7`** — same as above but windowed to last N days. Useful for "is this agent failing more lately?"
## Computation
Calibration ratio per agent: `clean / (total − errored)`. The denominator excludes hard errors (infrastructure/tool failures) and only counts agent-level outcomes.
Trend signal: any agent with >=2 blocks in the window surfaces a repeat-blocker callout. The classifier was hardened in v0.5.1 to catch real Lyra-style block patterns ("BLOCKED:", "are denied", "blocker-found" etc).
## When to run
…Read the whole file at its exact version.
How to install
mdr add wrg32786/aigent-os/agent-fitness@sha256:1c73ed2de257f964The line at the top of this page pins the label git:20260707.2a2e857, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_6gcawg3fny76kbv7)
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Versions
The registry has recorded 1 version of this file, committed on Jul 7, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2405 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
wrg32786/aigent-os · 24 stars · license MIT · pushed 2026-10-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_6gcawg3fny76kbv7 GET https://markdownregistry.com/api/v1/resolve?ref=wrg32786/aigent-os/agent-fitness GET https://markdownregistry.com/api/v1/blob/1c73ed2de257f964a7804dc8a839480a47f882f2e1d0d83b7da0138723d05ff2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.