Borrowing it
Nothing to install: this file belongs to Sma1lboy/coforce-apply. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Sma1lboy/coforce-apply/main/.agents/skills/coforce/SKILL.mdgit clone --depth 1 https://github.com/Sma1lboy/coforce-applyWrote 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.
[](https://agentmods.dev/skills/sma1lboy/coforce-apply/coforce)<a href="https://agentmods.dev/skills/sma1lboy/coforce-apply/coforce"><img src="https://agentmods.dev/badge/skills/sma1lboy/coforce-apply/coforce/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.
<a href="https://agentmods.dev/skills/sma1lboy/coforce-apply/coforce"><img src="https://agentmods.dev/badge/skills/sma1lboy/coforce-apply/coforce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00129 | $0.01144 |
| Opus 5.5 | $0.00052 | $0.00458 |
| Sonnet 5.5 | $0.00026 | $0.00229 |
| Haiku 4.5 | $0.00013 | $0.00114 |
Grade A, and why
coforce 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CoForce — entry point & router
CoForce Apply is a skill-first job application agent. This skill is the front door: it never does the work itself — it decides which skill should, then invokes it. It ships with the skill set, so routing works whether the user runs from a repo checkout (where AGENTS.md/CLAUDE.md carry the same table) or installed only the skills.
Route by intent
First action for a matched intent is invoking that skill — never answer ad hoc or improvise the workflow inline.
| The user is talking about… | Go to |
|---|---|
| First run, onboarding, 初始化, "set me up", missing data-home files | setup |
| Changing job-search preferences (level, directions, H1B/sponsorship, work mode, locations, salary) | setup (stage 2 only) or the console Settings tab |
| Their background: work history, projects, education, skills, awards/honors, certificates, "add X to my resume/record" | profile (Supplement flow takes raw material — a story, a link, a PDF) |
| Turning a GitHub URL / local repo into evidence or resume bullets | experience (Module 1: index + STAR bullets) |
| "Run a cycle", "find new jobs", "start hunting", recurring discovery | start |
| A batch of resumes for tracked jobs; reviewing/approving generated PDFs; ZIP export | campaign |
| One specific JD → one tailored resume (no tracker involvement) | tailor |
| Trying the product out, "does this work for me", first taste with nothing set up | tailor — deliver a PDF first, offer setup after |
| Submitting an application to a posting URL | apply |
| "Where are my applications", board, statuses, notes, archives | tracker |
| A scheduled interview: prep pack, mock interview, "帮我准备面试" | interview |
| "Why am I not getting callbacks", "该学什么", skill-gap retro | tracker (Retro — aggregates outcomes + campaign gap reports) |
| "Is this working", which bullets/resumes actually get callbacks | campaign (outcomes — counts, not evidence; pass its caveat on) |
Route by state (when the intent is vague)
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.
- 2mo ago First seen · 72 lines · 129 tokens per session scan A 0d9ee97d597d
coforce is a skill published in the GitHub repository Sma1lboy/coforce-apply (5 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 1,144 once invoked, about $0.0005 per session on Opus 5.5. 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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