performance-cycle skillA
performance-cycle is agent-read markdown (skill) from techwolf-ai/ai-first-toolkit: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns 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@git:20260610.38aa811mdr add techwolf-ai/ai-first-toolkit/performance-cycle@sha256:dc2523c257f1ddc6Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_4qlgwc3ctn3d2ov5)
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Versions
| 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 · 100 stars · license MIT · pushed 2026-09-22 · 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
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