prioritize SKILL.md skillA
prioritize from tomzx/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tomzx/agents/prioritize@git:20261007.b35fc4bPins git:20261007.b35fc4b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tomzx/agents
- Path
skills/pdlc/skills/prioritize/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261007.b35fc4b, committed Oct 7, 2026
- First version recorded
- Aug 5, 2026
- Size
- 1,980 bytes
- Repository stars
- 12
- License
- MIT
Rank a backlog of initiatives or features using a transparent scoring framework (RICE / WSJF). End of the PDLC Strategy phase.
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
# Prioritize Scores and ranks work so sequencing is transparent and debatable rather than asserted. Uses RICE (Reach x Impact x Confidence / Effort) or WSJF (Cost of Delay / Job Size), recording the inputs so the ranking can be challenged and re-run when estimates change. ## Prerequisites - Apply the shared PDLC conventions in `skills/pdlc/references/shared.md`. - `roadmap.md` and `goals.md`; a backlog of items to rank. ## Steps 1. Choose the framework. RICE suits discovery-stage ranking; WSJF suits time-critical sequencing where delay has a cost. 2. For each item, estimate the framework's inputs explicitly (reach, impact, confidence, effort; or cost-of-delay and job size). Record the number and a one-line justification. 3. Compute the score and rank. 4. Sanity-check the ranking against strategic fit and dependencies. If the top item depends on a lower item, note the dependency and reorder. 5. Separate "do" from "consider" vs. "cut": the cut list is as important as the do list. A backlog that never shrinks is not prioritized. …
Read the whole file at its exact version.
How to install
mdr add tomzx/agents/prioritize@sha256:2c5fcff8f79a8b38The line at the top of this page pins the label git:20261007.b35fc4b, 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_5nt4yvmgydxv4aym)
0 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 5, 2026 and Oct 7, 2026, about one every 63 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261007.b35fc4b latest | 2026-10-07 | b35fc4b | 1,980 B | A | view · diff |
| git:20260805.6b62307 | 2026-08-05 | 6b62307 | 1,968 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 (1980 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
tomzx/agents · 12 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5nt4yvmgydxv4aym GET https://markdownregistry.com/api/v1/resolve?ref=tomzx/agents/prioritize GET https://markdownregistry.com/api/v1/blob/2c5fcff8f79a8b380ebe1c6101283e2276b20c7c0e560cbc28e7947a41d6a627
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.