analyze-performance-call-and-learn SKILL.md skillA
analyze-performance-call-and-learn from gooseworks-ai/goose-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gooseworks-ai/goose-skills/analyze-performance-call-and-learn@v0.1.2Pins v0.1.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gooseworks-ai/goose-skills
- Path
skills/marketing/analyze-performance-call-and-learn/SKILL.md- Versions recorded
- 3
- Latest version
- v0.1.2, committed Oct 25, 2026
- First version recorded
- Oct 23, 2026
- Size
- 2,421 bytes
- Repository stars
- 1,275
- License
- MIT
Step of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.
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
# Test calls, calls and learnings (atom) **Load:** `../analyze-performance/references/tests-and-learnings.md`. **Inputs:** the brief's test plan; this week's results; last week's report (its calls); the change log (what was actually done); the learnings and readouts (`brand_knowledge_browse` kind 23 / `brand_knowledge_search` where listed; else `knowledge_search source_types: ["learning"]`, `brand_read` learnings); the paid run's newest run record. **Do:** 1. Call each ended test Win / Loss / Unclear against its written criteria with the brief's action; state how sure (confirmed / likely / first look). 2. Score last week's recommendations through run-memory's outcome check (`../analyze-performance/references/run-memory.md`): what was actually done (the `### YYYY-MM-DD — <title>` blocks in `decisions.md`, run-paid-campaigns' run record), and what happened — for a money move, the paid run's verdict plus the store-joined check over the same window; right or wrong. 3. Write this week's calls (kill / scale / hold, Google negatives) with object, why, how sure and "would change if"; first look → "watch". 4. Check fired replan triggers against the brief's thresholds. …
Read the whole file at its exact version.
How to install
mdr add gooseworks-ai/goose-skills/analyze-performance-call-and-learn@sha256:12291b5089d3af2aThe line at the top of this page pins the label v0.1.2, 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_lbt4rbi7ppvoevuz)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Oct 23, 2026 and Oct 25, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.2 latest | 2026-10-25 | 6fac613 | 2,421 B | A | view · diff |
| v0.1.2 | 2026-10-24 | b1e7218 | 2,398 B | A | view · diff |
| v0.1.1 | 2026-10-23 | 4cd1948 | 2,398 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 (2421 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
gooseworks-ai/goose-skills · 1,275 stars · license MIT · pushed 2026-10-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lbt4rbi7ppvoevuz GET https://markdownregistry.com/api/v1/resolve?ref=gooseworks-ai/goose-skills/analyze-performance-call-and-learn GET https://markdownregistry.com/api/v1/blob/12291b5089d3af2a6d115608a51467da6b5319e79ea1df019e74f0dc217e16db
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.