session-measurement SKILL.md skillA
session-measurement from jovesun-lab/whetstone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jovesun-lab/whetstone/session-measurement@git:20260820.a3d59c6Pins git:20260820.a3d59c6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jovesun-lab/whetstone
- Path
session-measurement/skills/session-measurement/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260820.a3d59c6, committed Aug 20, 2026
- First version recorded
- Jun 7, 2026
- Size
- 11,894 bytes
- Repository stars
- 8
- License
- MIT
Measure an AI agent's per-session performance on a small, stable metric set and track it as a trend over a long run, so you can tell whether a change — a new model version, a new operating frame/scaffolding, a new skill set — actually improved the agent or regressed it. Use this whenever someone wants to benchmark, score, grade, or track an agent's performance across sessions; compare two agent versions or frames; build a "did this change help?" scorecard; or turn a finished session into a…
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
# Session measurement — agent performance benchmark > **For any AI agent reading this file.** The frontmatter uses Claude's skill format; the > body is plain markdown. It works the same for Claude, OpenAI, Gemini, Cursor, Cline, Aider, > or a local model — paste the body in as a prompt if your platform has no skill system. > Assume **nothing** about your host's capabilities; everything here degrades gracefully. You turn a finished agent **session** into a row of objective counts, record it in a running **trend table**, and append it to a persistent log. Do this every session and the trend tells you, over a long run, whether the agent is getting better or worse as its model / frame / skills change. **The canonical output is a plain-markdown trend table** — no code execution, no dependencies, works for literally any agent (even one that can't run code). A polished chart image is an *optional* add-on for hosts that can render one; it's presentation, not the measurement. So the irreplaceable core of this skill is the **metric frame + the counting disciplines + the data**, not any particular renderer. …
Read the whole file at its exact version.
How to install
mdr add jovesun-lab/whetstone/session-measurement@sha256:96b20ee607fac422The line at the top of this page pins the label git:20260820.a3d59c6, 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_k63ggwpuk26sjlj2)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 7, 2026 and Aug 20, 2026, about one every 74 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260820.a3d59c6 latest | 2026-08-20 | a3d59c6 | 11,894 B | A | view · diff |
| git:20260607.883dd65 | 2026-06-07 | 883dd65 | 10,979 B | A | view |
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 (11894 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
jovesun-lab/whetstone · 8 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k63ggwpuk26sjlj2 GET https://markdownregistry.com/api/v1/resolve?ref=jovesun-lab/whetstone/session-measurement GET https://markdownregistry.com/api/v1/blob/96b20ee607fac4220d19c24e246ecaf0a5651d9c9998ac4a8ec8d0c49963d4ad
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.