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/addyosmani/factory/factory-tunegit clone --depth 1 https://github.com/addyosmani/factoryWrote 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/addyosmani/factory/factory-tune)<a href="https://agentmods.dev/commands/addyosmani/factory/factory-tune"><img src="https://agentmods.dev/badge/commands/addyosmani/factory/factory-tune.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00957 |
| Opus 5 | $0.00016 | $0.00478 |
| Sonnet 5 | $0.00007 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
factory-tune 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 4d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Constraints set once become either a permanent tax or a permanent hole. This command is the scheduled review that keeps them honest. Run it monthly, or after any escaped defect.
It proposes. It never edits CHARTER.md itself. A factory that can rewrite its own
constraints has none.
Gather evidence
Look at the last 30 days (or since LAST_REVIEWED in the charter). Use immutable records
under docs/factory/runs/ plus GitHub issue and PR timestamps:
- Merged factory PRs. How many, and how many needed human fixes after merge?
- Escaped defects. Anything that reached the default branch and later needed a fix. For each, trace which gate should have caught it. This is the single most valuable input here.
- Rejected verifications. What did the verifier catch, and is there a pattern? A repeated catch is a candidate for a new deterministic gate, which is strictly better than catching it with a model every time.
- Triage accuracy. Items marked
ready-to-implementthat turned out to need a spec. A high rate means the charter'sAUTOMATABLElist is too generous. - Review queue depth over time. Was the human review queue the bottleneck?
- Gate configuration. Which runs were
MISCONFIGURED? Which optional gates reportedSKIP, and should any become required? - Flow. Median queue age, implementation duration where records are complete, and
time from
awaiting-reviewto the human decision. State when records are incomplete; do not manufacture precision.
Propose
Tighten when
- An escaped defect traces to an automated gate you trusted. Say exactly which gate and what it missed. Tighten immediately; this is not a judgment call.
- A category keeps arriving in review needing real fixes.
- The verifier catches the same class of problem repeatedly. Propose the deterministic check that would catch it instead, because a gate cannot be talked out of its verdict and a reviewer can.
Loosen when
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.
- 4d ago First seen · 97 lines · 33 tokens per session scan A 053228a5786b
factory-tune is a command published in the GitHub repository addyosmani/factory (172 stars, last pushed 13d ago), licensed MIT. It adds 33 tokens to every session and 957 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 2026-08-30.
Other commands, from other repositories
implement
Execute phased implementation with validation gates.
workflow-claude-commands
Track Claude Code commands report changes and find what needs updating.
weather-orchestrator
Fetch Dubai weather and create an SVG weather card.
spec
Generate a specification for AI-assisted implementation.
ticket
Take a GitHub issue through an isolated implementation and pull request in its own Herdr tab.
session-stop
Stop recording and save this agent session to the project ledger.