performance-cycle SKILL.md skillA
performance-cycle from techwolf-ai/ai-first-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add techwolf-ai/ai-first-toolkit/performance-cycle@git:20260610.38aa811Pins git:20260610.38aa811 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- techwolf-ai/ai-first-toolkit
- Path
plugins/people-management/skills/performance-cycle/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260610.38aa811, committed Jun 10, 2026
- First version recorded
- Mar 24, 2026
- Size
- 8,460 bytes
- Repository stars
- 139
- License
- MIT
Evidence gathering for performance review cycles. Gathers goal completion evidence, peer feedback, development progress, scope changes, and values alignment, organised along the org's performance framework dimensions, with organizational values as the 'how' lens. Surfaces evidence gaps. Never suggests ratings, only organises evidence for the manager's judgment.
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
# Performance Cycle Assistant > **Principle: "You are responsible."** This skill gathers and organises evidence. Rating decisions and development assessments are the manager's alone. Helps managers prepare evidence-based assessments for performance review cycles. The org's performance framework dimensions measure *what* was achieved and *how the person developed*. Organizational values measure *how they showed up* while doing it. ## When to Use - During full review cycles (per the org's review cadence) - During lighter check-ins between full reviews - When the manager says "help me prep [name]'s review", "gather evidence for [name]'s performance" - Can be run for one team member or all reports in batch ## Context: Performance Framework Load the org's performance framework from `manager-context/performance-framework.md` (created during `/setup`). This defines: - Framework dimensions and sub-dimensions - Rating scale - Promotion readiness labels (if tracked) - Review cadence If `manager-context/performance-framework.md` doesn't exist, ask the manager to run `/setup` first. ## Instructions …
Read the whole file at its exact version.
How to install
mdr add techwolf-ai/ai-first-toolkit/performance-cycle@sha256:dc2523c257f1ddc6The line at the top of this page pins the label git:20260610.38aa811, 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_4qlgwc3ctn3d2ov5)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 24, 2026 and Jun 10, 2026, about one every 26 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260610.38aa811 latest | 2026-06-10 | 38aa811 | 8,460 B | A | view · diff |
| git:20260410.852272e | 2026-04-10 | 852272e | 8,496 B | A | view · diff |
| git:20260326.c5593b4 | 2026-03-26 | c5593b4 | 8,536 B | A | view · diff |
| git:20260324.2d53474 | 2026-03-24 | 2d53474 | 8,548 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 (8460 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
techwolf-ai/ai-first-toolkit · 139 stars · license MIT · pushed 2026-09-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4qlgwc3ctn3d2ov5 GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/performance-cycle GET https://markdownregistry.com/api/v1/blob/dc2523c257f1ddc68a152f836c5dfe53ae1296c0829a10df2271e3b08fb9a245
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.