analyze-performance SKILL.md skillA
analyze-performance 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@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/SKILL.md- Versions recorded
- 2
- Latest version
- v0.1.2, committed Oct 24, 2026
- First version recorded
- Oct 23, 2026
- Size
- 15,310 bytes
- Repository stars
- 1,275
- License
- MIT
Weekly performance read across every channel we run: what worked, why, and what to make next, judged on the business's real number (store revenue, qualified pipeline, retained users), not platform claims. Use when: write my Monday report; how are my ads doing — which ad won?; are my ads actually making money (Meta says 4x ROAS but revenue is flat); why did sales drop this week; did the test win; is my tracking working; monthly numbers for the replan; anything on fire today. Not for acting on…
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
# analyze-performance ## What you get - **The Monday report** — saved to `reports/performance/<YYYY-MM-DD>.md` and shown in chat, the same shape every week (`references/monday-report.md`); run-paid-campaigns decides and acts on its recommendations. - **Learnings** written to the brand brain after the marketer has seen and kept them; ended tests' measured results saved as readouts. - **A run record** for next week (`references/run-memory.md`): the per-channel and per-ad scorecards with the trend since last run, each call with its owner, review date and test, and what happened to last week's calls — saved to the brand, so "what worked" and "what to make next" rest on weeks of history, not one week. - **Monthly unit-economics read** for plan-campaign's replan; **daily pulse** on request, exception-only (`references/monthly-and-pulse.md`). ## Before you start …
Read the whole file at its exact version.
How to install
mdr add gooseworks-ai/goose-skills/analyze-performance@sha256:993be7b799f210d2The 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_qkv5khvgnwsjkblw)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 23, 2026 and Oct 24, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.2 latest | 2026-10-24 | 5de8433 | 15,310 B | A | view · diff |
| v0.1.1 | 2026-10-23 | 4cd1948 | 15,310 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 (15310 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_qkv5khvgnwsjkblw GET https://markdownregistry.com/api/v1/resolve?ref=gooseworks-ai/goose-skills/analyze-performance GET https://markdownregistry.com/api/v1/blob/993be7b799f210d2ac7f0de5163c91ad8cfc65b6b9d8dce99237ed9a426cc149
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.
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