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.
git clone --depth 1 https://github.com/danielpaulai/Purely-Personal-Run-a-business-by-itselfWrote 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/commands/danielpaulai/purely-personal-run-a-business-by-itself/fit-my-skills)<a href="https://agentmods.dev/commands/danielpaulai/purely-personal-run-a-business-by-itself/fit-my-skills"><img src="https://agentmods.dev/badge/commands/danielpaulai/purely-personal-run-a-business-by-itself/fit-my-skills/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/commands/danielpaulai/purely-personal-run-a-business-by-itself/fit-my-skills"><img src="https://agentmods.dev/badge/commands/danielpaulai/purely-personal-run-a-business-by-itself/fit-my-skills.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 | $0.00041 | $0.00410 |
| Opus 5 | $0.00020 | $0.00205 |
| Sonnet 5 | $0.00008 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
fit-my-skills 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 12d 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.
What it actually says
/fit-my-skills
Run the complete fitting chain, in this order, without stopping between stages.
Skills to fit: $ARGUMENTS if provided; otherwise the Day 2 standard pair: linkedin-caption-writer and linkedin-carousel-builder.
The chain
- Audit. Run the matchmaker's full audit on the target skills against BUSINESS-BRAIN.md (or the foundation documents if no brain exists yet; if neither exists, stop and send the user to /build-my-business-brain first).
- Gate. If the audit rates the BRAIN itself mostly Critical (thin voice, no ICP, no proof), stop here. Tell the user exactly which brain sections to fill and how, then end. A tight fit needs a filled brain.
- Tailor. Otherwise run the tailor immediately on the audited skills using the briefing from stage 1. Both skills in one pass. Standard tailor rules apply: regenerated voice files, verification grep, never invent proof.
- Smoke test. When the tailor delivers, run the matchmaker's smoke test on every fitted skill automatically. Report pass or fail per check; a fail names the exact line and gets fixed before delivery.
- Close. One short summary: what was fitted, the smoke test verdict, and the single next action: "Give your fitted caption writer one true thing from your week, and ship your first post."
Show a one-line progress marker between stages so the user knows where the chain is. Never ask a question mid-chain that the brain or the briefing can already answer.
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.
- 12d ago First seen · 34 lines · 41 tokens per session scan A 2b5ffdede4db
fit-my-skills is a command published in the GitHub repository danielpaulai/Purely-Personal-Run-a-business-by-itself (2 stars, last pushed 29d ago), licensed MIT. It adds 41 tokens to every session and 410 once invoked, about $0.0002 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.
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.