jobfit SKILL.md skillA
jobfit from duthaho/skillhub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add duthaho/skillhub/jobfit@git:20260714.dbe7dc7Pins git:20260714.dbe7dc7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- duthaho/skillhub
- Path
.claude/skills/jobfit/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260714.dbe7dc7, committed Jul 14, 2026
- First version recorded
- Jul 5, 2026
- Size
- 16,030 bytes
- Repository stars
- 9
- License
- MIT
Job-fit evaluation and discovery for job seekers — "find roles that fit me" and "should I apply to this one?" DISCOVER searches job boards for openings matching your profile; EVALUATE takes job URLs/descriptions you provide. Both research compensation, company signal, and posting legitimacy in parallel, score each role A–F, and emit a ranked decision brief with tailored CV-bullet suggestions. Evaluated roles persist in out/jobfit/tracker.md so repeat runs skip what you passed on. Keyless and…
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
# jobfit — job-fit evaluation & tailoring `/jobfit [url(s) | pasted JD(s)] [profile path/URL or plain-language steering]` Answer one question per role: **is this worth applying to, and if so, how do I tailor for it?** You ground every judgment in the actual posting + light research, score against the user's real profile, and rank by fit. ## Two modes (auto-detect) - **EVALUATE** — the user provides one or more job URLs/JDs. Score and tailor those. - **DISCOVER** — the user provides **no** jobs (e.g. "find jobs that fit my CV"). Source matching openings from the profile, let the user pick, then evaluate those. If jobs are given → EVALUATE. If none are given → DISCOVER. If the user gives jobs but also says "and find more like these," do both: evaluate the given ones and run Step 0b. ## Source-of-truth boundary (read first) User-facing content and scores draw **only** from: 1. the **actual job posting(s)** the user provides, points to, or that DISCOVER surfaces, 2. the user's **profile** (see Step 0), and 3. what the user states **in this session**. **Keywords get reformulated, never fabricated.** Never invent experience, skills, …
Read the whole file at its exact version.
How to install
mdr add duthaho/skillhub/jobfit@sha256:23ac906318ef6494The line at the top of this page pins the label git:20260714.dbe7dc7, 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_l4bsgzjuy2uyk2zl)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 5, 2026 and Jul 14, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260714.dbe7dc7 latest | 2026-07-14 | dbe7dc7 | 16,030 B | A | view · diff |
| git:20260714.429242b | 2026-07-14 | 429242b | 14,332 B | A | view · diff |
| git:20260710.1f79572 | 2026-07-10 | 1f79572 | 14,576 B | A | view · diff |
| git:20260710.eb7764e | 2026-07-10 | eb7764e | 17,006 B | A | view · diff |
| git:20260705.592d5a2 | 2026-07-05 | 592d5a2 | 16,999 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 (16030 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
duthaho/skillhub · 9 stars · license MIT · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_l4bsgzjuy2uyk2zl GET https://markdownregistry.com/api/v1/resolve?ref=duthaho/skillhub/jobfit GET https://markdownregistry.com/api/v1/blob/23ac906318ef6494692587f9e24b1c4bb5358c4bb365a47e5b9398542eb16f8a
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.