A pre-screening check that compares your main resume with a specific job description before any tailoring begins. It returns a yes-or-no fit decision based on the configured scoring rules.

Use it to decide whether you should apply and whether to start resume work for a particular job.

It helps you avoid spending time tailoring applications for jobs where your resume misses essential requirements. The check also keeps the assessment tied to the exact job description and approved resume.

job-fit — Skill for Claude Code by jananthan30

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add jananthan30/Resume-Builder --skill job-fit

Clone the repo

git clone --depth 1 https://github.com/jananthan30/Resume-Builder

Made for: Claude Code.

Or install Resume-Builder, the plugin that ships this one along with the rest of its 9 skills, 9 commands, 4 agents, 1 hook, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jananthan30/resume-builder/job-fit/github.svg)](https://agentmods.dev/skills/jananthan30/resume-builder/job-fit)

Your own site

<a href="https://agentmods.dev/skills/jananthan30/resume-builder/job-fit"><img src="https://agentmods.dev/badge/skills/jananthan30/resume-builder/job-fit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jananthan30/resume-builder/job-fit"><img src="https://agentmods.dev/badge/skills/jananthan30/resume-builder/job-fit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,114 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00083	$0.01114
Opus 5	$0.00042	$0.00557
Sonnet 5	$0.00017	$0.00223
Haiku 4.5	$0.00008	$0.00111

Measured 12d ago against content hash 794d0e77358c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

job-fit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/job-fit/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Fit Pre-Screen — Deterministic GO/NO-GO Gate

Evaluate the configured master resume against an exact job description before any resume work begins.

Job Description

The user provides the target job description when invoking this skill; treat that text as the exact JD throughout.

CANDIDATE-FIT PREFLIGHT (MANDATORY FIRST GATE)

Read config.json and resolve its exact master_resume_path. This configured master is the only resume allowed in the assessment. Never use a previous tailored resume, application resume, or "best match" template.
Put the exact job description in a private temporary UTF-8 file. Do not create an application/output directory, resume draft, DOCX, or tracker row.
Generate one safe run_id, one safe case_id, and one strict ISO calendar as_of_date, then capture the sole intended machine output from:

python candidate_fit_preflight.py --resume <configured-master-resume> --job-description <private-exact-JD.txt> --run-id <run_id> --case-id <case_id> --as-of-date <YYYY-MM-DD> --json
Parse only the JSON report. Require schema_version: "1.0.0", policy_version: "candidate-fit-policy-v3", scorer_version: "evidence-match-v1", the exact run/case IDs and date, exact master/JD SHA-256 digests, exact threshold: 70.0, all seven named component scores, a boolean extraction_trustworthy, hard_knockouts, passed, and ordered codes. Recompute the canonical JSON SHA-256 and display it as candidate_fit_report_digest.
Proceed status is valid only when the process exits 0, score >= 70, extraction is trustworthy, hard_knockouts is empty, passed is true, and codes is empty. No dimension, recommendation, ATS score, HR score, or user preference can compensate for a failed condition.
Exit 1, any score below 70, or any hard knockout is REJECTED:CANDIDATE_FIT. Exit 2 or an unavailable, malformed, non-canonical, stale, or digest-mismatched report is FAILED:CANDIDATE_FIT_PREFLIGHT. Both fail closed and authorize no tailoring, role/native-team invocation, output, DOCX, or tracker operation.

Read the full file on GitHub · 98 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 98 lines · 83 tokens per session scan A 794d0e77358c

Subscribe to this mod's changes

job-fit is a skill published in the GitHub repository jananthan30/Resume-Builder (83 stars, last pushed 27d ago), licensed MIT. It adds 83 tokens to every session and 1,114 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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