goal-prompt SKILL.md skillA
goal-prompt 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/goal-prompt@git:20260710.ac797fbPins git:20260710.ac797fb 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/session-tools/skills/goal-prompt/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260710.ac797fb, committed Jul 10, 2026
- Size
- 2,790 bytes
- Repository stars
- 139
- License
- MIT
Turn a task, plan, or feature request into a ready-to-paste Claude Code /goal command — a single completion condition with a measurable end state, a demonstrable proof, and the constraints that must not drift. Use when the user says "give me a goal", "goal prompt", "make this a /goal", "turn this into a goal", or wants an autonomous long-running objective for Claude Code.
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
# goal-prompt Produce a ready-to-paste `/goal ...` command from whatever the user is trying to accomplish. ## Why the shape matters `/goal` runs Claude autonomously until a separate fast-model evaluator decides, after a turn, that the condition is met. The evaluator does NOT run commands or read files itself — it only reads Claude's output. So the completion condition must be demonstrable by Claude's own output, never by hidden side effects. ## A good goal has three parts 1. **Measurable end state** — one concrete finish line: a test/exit code, a file that must exist, a count, an empty queue, named sections present. 2. **Stated proof** — exactly how Claude demonstrates it: the command to run and its expected result, or the grep/check whose output shows done. Phrase it as "Prove it by showing X." 3. **Constraints that must not drift** — what stays unchanged on the way there: files not to touch, framing to keep, no network/prod, don't modify tests. ## How to write it - One sentence of objective, then `Done when: <end state + proof>`, then `Constraints that must not change: <list>`. …
Read the whole file at its exact version.
How to install
mdr add techwolf-ai/ai-first-toolkit/goal-prompt@sha256:0796d07601669eb6The line at the top of this page pins the label git:20260710.ac797fb, 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_ecwi2okupngxv7mk)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 10, 2026.
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 (2790 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_ecwi2okupngxv7mk GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/goal-prompt GET https://markdownregistry.com/api/v1/blob/0796d07601669eb6d4eef540a9a0b137621825223eb39fbfcc2fe2c6c7db1dec
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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