ai-assisted-performance-review SKILL.md skillA
ai-assisted-performance-review from mohitagw15856/pm-claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mohitagw15856/pm-claude-skills/ai-assisted-performance-review@git:20261006.b9ea321Pins git:20261006.b9ea321 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mohitagw15856/pm-claude-skills
- Path
exports/openclaw/ai-assisted-performance-review/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261006.b9ea321, committed Oct 6, 2026
- First version recorded
- Jul 14, 2026
- Size
- 6,388 bytes
- Repository stars
- 1,475
- License
- MIT
Evaluate performance fairly when output is AI-assisted — what still measures the human, what now measures the tooling, and how to run the review conversation. Use when reviewing someone whose work is heavily AI-assisted, when output volume stopped meaning anything, when calibrating a team with uneven AI adoption, or when writing review criteria for the AI era. Produces review guidance: a what-measures-whom analysis, rewritten criteria, calibration rules for mixed-adoption teams, and…
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
# AI-Assisted Performance Review Skill The uncomfortable review question of the decade: when a report ships twice the output with AI, what did *they* do? Volume stopped measuring effort; polish stopped measuring skill. Punishing AI use is as wrong as crediting the model's work to the human. This skill separates the signals — and gives managers the conversation, not just the theory. ## What This Skill Produces - A **what-measures-whom analysis** of the role's current evaluation criteria - **Rewritten criteria** that measure the human: judgment, verification, outcomes, leverage - **Calibration rules** for teams with uneven AI adoption - **Conversation scripts** for the three hard cases ## Required Inputs Ask for (if not already provided): - **The role and current review criteria** (the rubric, or how it really works) - **How AI shows up in the work** — which tasks, how much of the output it drafts, what the tooling reality is - **The specific situation**, if any: one person's review? team calibration? criteria rewrite? - **The org's AI stance** — encouraged? tolerated? policy exists? (Reviews must not punish sanctioned behaviour) ## Method …
Read the whole file at its exact version.
How to install
mdr add mohitagw15856/pm-claude-skills/ai-assisted-performance-review@sha256:574422d161bb5e7eThe line at the top of this page pins the label git:20261006.b9ea321, 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_gv543ac2bupskezv)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 14, 2026 and Oct 6, 2026, about one every 84 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261006.b9ea321 latest | 2026-10-06 | b9ea321 | 6,388 B | A | view · diff |
| git:20260714.b87d8d4 | 2026-07-14 | b87d8d4 | 6,215 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 (6388 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
mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gv543ac2bupskezv GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/ai-assisted-performance-review GET https://markdownregistry.com/api/v1/blob/574422d161bb5e7e7a1ac783f5260d87a86edebdbadd7ea1d7fe768e6599a560
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.