workspace-checkpoint SKILL.md skillA
workspace-checkpoint from tmusser/ai-engineering-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tmusser/ai-engineering-skills/workspace-checkpoint@git:20260727.c75904cPins git:20260727.c75904c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tmusser/ai-engineering-skills
- Path
skills/workspace-checkpoint/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260727.c75904c, committed Jul 27, 2026
- Size
- 4,861 bytes
- Repository stars
- 6
- License
- MIT
Reactivate the smallest set of decision-governing constraints immediately before a consequential action, without introspection, full-context summarization, or a new durable artifact.
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
# Workspace Checkpoint ## Purpose Re-center the next consequential action on the few current constraints and evidence that can change it. **Reactivate, do not introspect.** This skill externalizes decision-relevant state; it does not ask the model to reveal private reasoning or claim access to internal representations. **Checkpoint, do not summarize.** Read only the highest-authority sources needed for the next action and carry forward the smallest useful active set. ## When to use Use only at a real decision boundary where a buried or competing constraint could change the next action, for example: - before weakening or rewriting a test, fixture, or compatibility seam - before widening an API, schema, dependency, permission, or write scope - before an irreversible or shared-state mutation - before declaring success when evidence is mixed or incomplete - before the first consequential edit after a resume or handoff - after repeated failures when the next attempt risks drifting from the original contract Skip routine edits, ordinary tool calls, and already-bounded steps whose governing constraint is obvious and current. …
Read the whole file at its exact version.
How to install
mdr add tmusser/ai-engineering-skills/workspace-checkpoint@sha256:45008b0ae217408aThe line at the top of this page pins the label git:20260727.c75904c, 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_gynumrfhsayow372)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 27, 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 (4861 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
tmusser/ai-engineering-skills · 6 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gynumrfhsayow372 GET https://markdownregistry.com/api/v1/resolve?ref=tmusser/ai-engineering-skills/workspace-checkpoint GET https://markdownregistry.com/api/v1/blob/45008b0ae217408a479e7287c4026193d391d13477b9376985651d6a8aad55bb
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.