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tailor-resume

tailor-resume is a skill for Claude Code from dcassil/resume-kit. It costs 60 tokens per session (1,966 once invoked), scanned A, original, Apache-2.0.

A job-specific resume tailoring workflow that compares a prepared resume with a job description and supporting evidence. It creates a working version for that particular job.

In plain words
What is it for?
Use it after preparing a resume and activating a job to improve its fit, validate changes, and rescore it.
Why use it?
It helps adapt a resume to a job while checking that suggested changes remain supported by the candidate's evidence.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the resume-intelligence plugin — 31 skills, 1 command, 1 hook shipped together

not rated 0repo 28d ago A scan 60 tokens original Apache-2.0

Good fit Use it after preparing a resume and activating a job to improve its fit, validate changes, and rescore it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dcassil/resume-kit/tailor-resume
View source ↗ dcassil/resume-kit
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 dcassil/resume-kit --skill tailor-resume
Clone the repo
git clone --depth 1 https://github.com/dcassil/resume-kit

Made for: Claude Code.

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.

agentmods badge for tailor-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcassil/resume-kit/tailor-resume/github.svg)](https://agentmods.dev/skills/dcassil/resume-kit/tailor-resume)
Your own site
<a href="https://agentmods.dev/skills/dcassil/resume-kit/tailor-resume"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/tailor-resume/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.

agentmods 80×15 button for tailor-resume

Your own site · 80×15
<a href="https://agentmods.dev/skills/dcassil/resume-kit/tailor-resume"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/tailor-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,966 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.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01966
Opus 5 $0.00030 $0.00983
Sonnet 5 $0.00012 $0.00393
Haiku 4.5 $0.00006 $0.00197

Measured 8d ago against content hash dbc7d9a8929b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

tailor-resume 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 8d 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/tailor-resume/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

tailor-resume - reusable Flow 3 job tailoring

Flow 3 runs after prepare-base-resume has produced the prepared refine/canonical resume and seeded durable learning, and after ingest-job has set active_job and grown the alias file for this job. It consumes those prepared artifacts; it does not go back to the raw source resume.

The output is a tailored working resume under resume-kit/working/, written only by the code-owned edit-session commit gate. This flow is safe to run repeatedly per job as new evidence, aliases, or user decisions become available.

Prerequisites

Run the shared Prerequisites gate - ../_shared/prerequisites.md.

  • Required prepared resume: a refine/canonical ResumeDocument output from prepare-base-resume, or a recorded override that explicitly permits using another canonical resume artifact.
  • Required active job: active_job in resume-kit/config.json, normally written by ingest-job.
  • Proof source for full injectability classification: use at least one of:
    • a distinct master resume from 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, so truthful additions can be proved.
  • Alias file: use config.json's alias_file when present, normally resume-kit/learning/synonyms.json from ingest-job. If absent, scoring runs with the seed lexicon only.
  • If the prepared resume is missing: STOP and run prepare-base-resume first. Do not tailor against an original-only resume unless the user has recorded the override.
  • If active_job is missing: STOP and run ingest-job first.
  • If both proof sources are missing: continue only if the caller explicitly accepts keyword-only gap classification. In that degraded mode check-gaps can list missing job keywords, but it cannot responsibly distinguish injectable_keywords from non_injectable_keywords; do not present non-injectable labels as a factual claim about the candidate's abilities.

Read the full file on GitHub · 183 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.

  1. 8d ago First seen · 183 lines · 60 tokens per session scan A dbc7d9a8929b

Subscribe to this mod's changes

tailor-resume is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 28d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,966 once invoked, about $0.0003 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.

Writing and docs
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