A local record of a person's career background, including contact details, skills, education, experience, projects, and certifications. It is stored in a profile file outside the repository.

Initializing a profile from a resume or interview, adding career details and evidence, updating skills, and reviewing the stored background.

It keeps resume information in one place so it can be reviewed and updated without scattering personal data across projects.

profile — Skill for Claude Code and Codex by Sma1lboy: A local record of a person's career background, including…

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/sma1lboy/coforce-apply/profile

Any agent

npx skills add Sma1lboy/coforce-apply --skill profile

Clone the repo

git clone --depth 1 https://github.com/Sma1lboy/coforce-apply

Made for: Claude Code, Codex.

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/sma1lboy/coforce-apply/profile.svg)](https://agentmods.dev/skills/sma1lboy/coforce-apply/profile)

Your own site

<a href="https://agentmods.dev/skills/sma1lboy/coforce-apply/profile"><img src="https://agentmods.dev/badge/skills/sma1lboy/coforce-apply/profile.svg" alt="Measured on agentmods" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,881 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	$0.00102	$0.01881
Opus 5	$0.00051	$0.00941
Sonnet 5	$0.00020	$0.00376
Haiku 4.5	$0.00010	$0.00188

Measured 5d ago against content hash f6e9509b2c5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

profile 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 5d 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.

.agents/skills/profile/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Profile — local background maintenance

Single source of truth: ~/.coforce/profile.json (personal data — never in any repo). The authoritative schema is the shape below. Never invent fields.

Shape (all fields optional): name, title, email, phone, localizedContacts: Record<language, {email?, phone?}>, location, linkedin, github, website, summary, skills[], courses[], verifiedSkills[] {name, category?, source?, evidenceIds[]?, verifiedAt?}, resumeSkillPolicy {status: "review_requested" | "approved", baseline: string[], rolePacks: Record<string, string[]>, reviewedAt?: string | null}, experience[] {company, title, date, location?, url?, localized?: Record<language, partial entry metadata>, description[{text, textZh?, weight?, source?, verifiedAt?}], weight?}, education[] {institution, degree, date, location?, relevantCourses?}, projects[] {name, role?, url?, demo?, localized?: Record<language, partial entry metadata>, description[{text, textZh?, weight?, source?, verifiedAt?}], technologies?, dateRange?, weight?, repo?{url?, path, headSha, investigatedAt}}, certifications[] {name, issuer, date}, languages[] {language, proficiency}, customSections[] {title, weight?, entries[{heading?, subheading?, date?, description?[{text, textZh?, weight?, source?, verifiedAt?}]}]} — user-defined resume sections (Awards, Publications, Leadership, Open Source…) that tailor renders as additional sections when relevant. weight (higher = more important) drives what gets picked when tailoring a resume to a JD — set it when the user signals importance, otherwise omit.

Operations

Init (~/.coforce/profile.json missing):

Create ~/.coforce/ if needed. If the user has an existing resume (PDF/JSON/text), read it and map into the schema.
A resume that lands here gets an intake review — the material the user arrived with becomes the pool every future resume is selected from, so it is worth knowing what a screener sees in it before building on top. Run it per the campaign skill's references/resume-judge.md, Intake mode section (sibling install; fresh subagent, never this one — a parser that has read the rubric writes to it). It gates nothing and it runs AFTER whatever the user actually came for: tailor's front door delivers the PDF first, then this. Skip it entirely if the user only asked to edit one field.
Point the user at the console's Profile tab (tracker skill, port 4517) as the friendly editing surface: structured form (basics, skill chips, experience/project/education cards with per-bullet editing), a skill-policy review ledger, plus an "Import resume (AI)" button that parses pasted text via the local agent runtime for review-then-save.
Otherwise interview briefly: contact basics → education → experience → projects → skills. Don't interrogate; accept partial data, everything is optional.

Read the full file on GitHub · 132 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.

5d ago First seen · 132 lines · 102 tokens per session scan A f6e9509b2c5c

Subscribe to this mod's changes

profile is a skill published in the GitHub repository Sma1lboy/coforce-apply (5 stars, last pushed 6d ago), licensed MIT. It adds 102 tokens to every session and 1,881 once invoked, about $0.0005 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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profile