A gap checker that compares a tailored resume with a job description and supporting proof, then lists missing keywords and identifies which ones can be added truthfully.

Use it to find missing job terms and classify them as supported by the master resume or evidence, or unsupported.

It separates real skill gaps from qualifications the candidate has but has not included in this resume.

check-gaps — Skill for Claude Code and Codex by dcassil: A gap checker that compares a tailored resume with…

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.

agentmods

npx agentmods add skills/dcassil/resume-kit/check-gaps

Any agent

npx skills add dcassil/resume-kit --skill check-gaps

Clone the repo

git clone --depth 1 https://github.com/dcassil/resume-kit

Made for: Claude Code, Codex.

Or install resume-intelligence, the plugin that ships this one along with the rest of its 31 skills, 1 command, 1 hook.

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/dcassil/resume-kit/check-gaps.svg)](https://agentmods.dev/skills/dcassil/resume-kit/check-gaps)

Your own site

<a href="https://agentmods.dev/skills/dcassil/resume-kit/check-gaps"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/check-gaps.svg" alt="Measured on agentmods" height="20"></a>

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,787 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00088	$0.01787
Opus 5	$0.00044	$0.00894
Sonnet 5	$0.00018	$0.00357
Haiku 4.5	$0.00009	$0.00179

Measured 4d ago against content hash 75d02627c931, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

check-gaps 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 4d 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.

plugins/resume-intelligence/skills/check-gaps/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Renamed: check-gaps was identify-resume-gaps before v1.0.0 (see RIT-A-0005).

Prerequisites

Run the shared Prerequisites gate first — see _shared/prerequisites.md.

Required inputs:
- a JobDescription JSON — the active_job pointer in resume-kit/config.json (or an explicit job JSON path the caller passes).
- a tailored ResumeDocument JSON — the active_resume pointer (or an explicit resume JSON path the caller passes) — the resume being evaluated.
Proof source for full injectability classification: use at least one of:
- a distinct master ResumeDocument JSON — the full master resume used to decide which missing job keywords are already supported outside the tailored resume. Prefer an explicit master path; where applicable fall back to the prepared baseline lineage described in ../_shared/config-pointers.md.
- confirmed Flow 1 learning-evidence — normally resume-kit/learning/candidate-evidence.json, evidence_file, or the configured active_evidence, whose confirmed facts can prove additions the resume may truthfully make.
If any required input is missing (no pointer, file absent, or a raw file where a canonical JSON is required): STOP. Do not guess and do not run on partial input. Name the upstream skill for the missing one:
- Missing/unconverted tailored resume → run parse-resume.
- Missing/unconverted job → run parse-job.
If no proof source is available: continue only if the caller explicitly accepts keyword-only gap classification. Otherwise, obtain a distinct master with parse-resume or obtain confirmed learning-evidence with extract-evidence / the Flow 1 preparation skill that owns it.

Conversions are best run in subagents (large intermediate text stays out of the main context); pass the saved JSON paths back here — they live under resume-kit/resumes/ and resume-kit/jobs/.

Read the full file on GitHub · 165 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.

4d ago First seen · 165 lines · 88 tokens per session scan A 75d02627c931

Subscribe to this mod's changes

check-gaps is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 24d ago), licensed Apache-2.0. It adds 88 tokens to every session and 1,787 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 2026-08-31.

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