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.
npx agentmods add commands/robconery/champion/writegit clone --depth 1 https://github.com/robconery/championWhat 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 | $0.00057 | $0.00959 |
| Opus 5 | $0.00028 | $0.00479 |
| Sonnet 5 | $0.00011 | $0.00192 |
| Haiku 4.5 | $0.00006 | $0.00096 |
Grade A, and why
write 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 yesterday.
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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plugin note: this command ships in the
championplugin, so every council agent it names is a plugin agent. When spawning any agent mentioned below, use thechampion: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.mdexists. If it does not, stop immediately and tell the user, politely, that the council cannot work without knowing who it fights for: run/champion:setupfirst (a 20–30 minute interview). Do not proceed in any form until setup is complete.
write, the writing gauntlet
The piece:
$ARGUMENTS
This is a process, not a one-shot. The machine drafts and cleans. The user gets the last word. The center of gravity is their voice, and the iron rule is that nothing leaves in markdown form until they have edited and approved it.
Read first
~/.champion/dossier/VOICE.md: the rubric, taste, aesthetic, and their actual writing samples. The positive target. Write through it. If the samples are thin, say so and ask for more rather than guessing at a voice.${CLAUDE_PLUGIN_ROOT}/references/voice-scrub.md: the cleaning checklist. The list of AI tells to strip.- For a newsletter or marketing email:
${CLAUDE_PLUGIN_ROOT}/references/marketing-playbook.md: teach a real outcome, link the lead magnet, invite softly. The newsletter is a flywheel asset, not an announcement.
The pipeline
-
Clarify the job. What is the piece, who reads it, what should they feel or do after. If it is not obvious from
$ARGUMENTS, ask one tight question, then go. -
Draft in voice (
VOICE.md). Do not write "content." Write the way the user talks on the page: a real opinion, stated, then earned. -
Voice-check. Read it whole against
VOICE.md. Does it sound like the user or like a feed. Fix where it drifts. -
Scrub against
${CLAUDE_PLUGIN_ROOT}/references/voice-scrub.md. Run the two sweeps that always catch something: the em-dash sweep and the punchy-fragment sweep. Then the rest of the ban list.
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.
- yesterday First seen · 45 lines · 57 tokens per session scan A a4ebf9d04701
write is a command published in the GitHub repository robconery/champion (5 stars, last pushed 29d ago), licensed MIT. It adds 57 tokens to every session and 959 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.