score-fit SKILL.md skillA
score-fit from kahl-d/jaja is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kahl-d/jaja/score-fit@git:20261023.9f9eaf2Pins git:20261023.9f9eaf2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kahl-d/jaja
- Path
.agents/skills/score-fit/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261023.9f9eaf2, committed Oct 23, 2026
- Size
- 6,194 bytes
- Repository stars
- 6
- License
- MIT
Use when a job in jobs/ has passed the hard gates or was sent to review and needs a fit report, when the owner asks whether a specific role is worth applying to, or when the owner's overrides need calibrating against the rubric.
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
# Score fit Owner: fit-scorer (card `agents/fit-scorer.md`). Tier: T1. Decides which jobs deserve a page: an A to H report with a weighted 1.0 to 5.0 score tied to evidence ids, a verdict and a P0 to P3 priority for the Recruiter's queue. The rubric lives in the card. E2 mass roles need no fit.md; E3 and up do (see the charter). Today is !`date +%F`. ## Inputs 1. Department `AGENTS.md`, the workflow document's gate and scoring sections; the rulings the hook printed. 2. Jobs to score: `grep -l "^status: fit_checked" jobs/*.md` whose `fit_score` is empty (or the one job named). 3. Each job's gate result (receipt or frontmatter; if missing `python3 scripts/fit_gates.py --job <id>`). 4. `targets/roles.md`, `targets/segments/<segment>.md`, `research/lenses.md`. 5. `profile/facts.yaml` (`conflicts:`), `PROFILE.md`, `skills-taxonomy.yaml`, `evidence.yaml`, the corpus READMEs. 6. `companies/<company>.md` if present; `research/ai-ml-market-2026.md`; the last 20 rows of `evals/fit-overrides.jsonl`. ## Outputs - `applications/SLUG/jd.md` and `applications/SLUG/fit.md` (contracts in the card's `## Outputs`). …
Read the whole file at its exact version.
How to install
mdr add kahl-d/jaja/score-fit@sha256:37897f97f7f5a4bfThe line at the top of this page pins the label git:20261023.9f9eaf2, 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_gbp3gv4v7coqgfdt)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 23, 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 (6194 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
kahl-d/jaja · 6 stars · license MIT · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gbp3gv4v7coqgfdt GET https://markdownregistry.com/api/v1/resolve?ref=kahl-d/jaja/score-fit GET https://markdownregistry.com/api/v1/blob/37897f97f7f5a4bf61351f1e7431f7accf670fd9eba1518ff6d0f8ffaafe8ca0
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.