Build a weekly scorecard from Littlebird and sibling routine reports. Use for progress, dropped commitments, and next-week priorities. Read README.md for the guide map.
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
# Weekly review
## Purpose
One scorecard per week covering the whole operation: meetings held and hours spent in them,
commitments closed against dropped against still open, leads captured and what happened to
them, money findings, content shipped, what moved per project, and next week's top three
with the reasoning shown.
**This is the composition skill of the marketplace, and that is its defining property.**
Nearly everything in the scorecard was already produced by a sibling routine. So the primary
retrieval of this skill is `LB_INTERNAL_LIST_ROUTINES` plus `LB_INTERNAL_GET_ROUTINE_REPORTS`
across the user's other routines, reading their weekly output. Exactly one section is
retrieved fresh every run: meetings and hours.
**Read, do not re-derive.** Re-deriving is slower and more expensive, and worse than both, it
produces a number that disagrees with the sibling's own published number. The user then has to
reconcile two versions of their own week. For a scorecard that is the worst available outcome,
because one figure the reader cannot trust undermines every other figure on the surface
[references/research/distilled-weekly-review-design.md, section 7].
…
The line at the top of this page pins the label v1.0.0, 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.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (45919 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
GitHub
legioncodeinc/vibe-coding-tools · 94 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xa4pnf46i7ygpwkr
GET https://markdownregistry.com/api/v1/resolve?ref=legioncodeinc/vibe-coding-tools/weekly-review
GET https://markdownregistry.com/api/v1/blob/bdd1eacf1237efbe2e7cda651958d43346f814547a2dd51a507d4ddd098b1ce4
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.
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