apply

A job-application decision command that evaluates a listing against your background, goals, and finances. It either prepares an application or gives an honest reason to pass.

In plain words
What is it for?
Use it to assess a job, draft a tailored resume and cover letter in Markdown when appropriate, review the writing, and create a PDF only after approval.
Why use it?
It helps avoid spending time applying for jobs that do not fit, and prevents creating a finished application before you approve the wording.

Command

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 commands/robconery/champion/apply
Clone the repo
git clone --depth 1 https://github.com/robconery/champion
Per session 58 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,305 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.

ModelPer sessionOnce invoked
Fable 5 $0.00058 $0.02305
Opus 5 $0.00029 $0.01153
Sonnet 5 $0.00012 $0.00461
Haiku 4.5 $0.00006 $0.00231

Measured 2d ago against content hash f13e2dc9d0b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

apply 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 2d 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.

champion/commands/apply.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plugin note: this command ships in the champion plugin, so every council agent it names is a plugin agent. When spawning any agent mentioned below, use the champion: prefix for the agent type (e.g. champion:historian, champion:north-star, champion:viewer).

Setup gate: before doing anything else, check that ~/.champion/dossier/PROFILE.md exists. If it does not, stop immediately and tell the user, politely, that the council cannot work without knowing who it fights for: run /champion:setup first (a 20–30 minute interview). Do not proceed in any form until setup is complete.

apply, should the user go for this job?

The listing:

$ARGUMENTS

This is the decision engine pointed at a job. The output is one of two things and nothing in between: a tailored application package (resume + cover letter, drafted in markdown and run through the writing gauntlet, then rendered to PDF only after the user approves the words), or a PASS with the real reason. We do not write a resume for a job the user shouldn't take, and we never hand them a finished PDF they haven't approved in markdown first.

Two truths must stay separate the whole way through:

  1. Is the job any good? (money, role, company, trajectory)
  2. Should the user do this, and can they?: and this one matters more.

A job can be a high-stakes deviation for this user specifically: their stance on working for others, any active contract they've committed to protect, and any wound a past employer left are all in ~/.champion/dossier/PROFILE.md and ~/.champion/dossier/CAREER.md. Taking a job is not neutral, it's potentially the sabotage pattern firing, potentially a brave move, or potentially a contract breach. The gauntlet's job is to tell which.

0, Get the real listing

If $ARGUMENTS is a URL, fetch it (WebFetch). If it's pasted text, use it. Extract and pin down before debating: company, role/title, seniority, comp/equity if stated, location/remote, key requirements, who they want. If comp isn't stated, the researcher estimates the band.

Read the full file on GitHub · 100 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. 2d ago First seen · 100 lines · 58 tokens per session scan A f13e2dc9d0b5

Subscribe to this mod's changes

apply is a command published in the GitHub repository robconery/champion (5 stars, last pushed 29d ago), licensed MIT. It adds 58 tokens to every session and 2,305 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.