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/watt-mind/factory/factory-unblockgit clone --depth 1 https://github.com/watt-mind/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/watt-mind/factory/factory-unblock)<a href="https://agentmods.dev/commands/watt-mind/factory/factory-unblock"><img src="https://agentmods.dev/badge/commands/watt-mind/factory/factory-unblock.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 | $0.00023 | $0.00801 |
| Opus 5 | $0.00012 | $0.00400 |
| Sonnet 5 | $0.00005 | $0.00160 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
factory-unblock 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 3d 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
Re-examine the ai:blocked holds for the repository I'm currently in: some blockers resolve without anyone commenting on the ticket — the dependency merged, the credential got documented, the code moved on — and this sweep is what notices. Resolve the team from the repo via config/repos.yaml (docs/protocol.md §1). Use factory ticket; on failure retry once then fall back to factory ticket raw per the floor.
Target: every open ticket in Blocked or Triage carrying ai:blocked, oldest hold first — the longest-stuck ticket has waited longest for this look. Interpret $ARGUMENTS as specific issue IDs or a max count; default is up to 10.
Tickets whose question has already been answered by a reply are the triage stage's job (the orchestrator's reply-detection gate resurfaces them) — if you find one, handle it exactly as factory-triage would rather than skipping it, but it counts against your cap.
Claim what you are examining
Same protocol as triage: before working an issue, set assignee to yourself and add ai:in-progress + agent:<your-harness>; leave the state alone. Remove ai:in-progress when you finish that issue. One at a time, not a batch up front.
For each held ticket:
- Reconstruct the hold — read the blocking comment and what it says is missing. If the hold never stated what it needs, treat that as the finding: comment the specific question it should have asked, re-add
ai:blocked(remove first if present — the fresh label event resets the orchestrator's reply clock), and move on. - Hunt for new evidence — has anything changed since the hold?
- a blocking/related ticket has since moved to Done, or the referenced PR merged;
- the answer now exists in the repo's
docs/product-decisions.md,docs/, the Linear project Overview, or a newer ticket in the same area; - a missing credential/env detail is now in the repo's
docs/or the operator's runbook; - the code moved enough that the premise of the hold is gone (verify in the actual codebase — read-only).
- With evidence: release the hold. Remove
ai:blocked, comment one line citing the evidence (link the ticket/PR/doc), then re-run triage's promote-or-hold: promote toTodo+ai:agent-readyonly if the full §5 template is solid against the current code; otherwise leave it inTriagefor the triage stage to spec. Never promote on a guess — a wrongly released hold hands an implementation agent a question a human was supposed to answer. - Without evidence: leave silently. No comment, no label churn, no re-stating the question. A sweep that re-derives the same hold on every run is the exact pathology this pipeline keeps having to un-learn (CLNT-504 collected ten identical hold comments). The ticket stays exactly as it was.
Do not start implementing anything, and never remove ai:blocked just because the hold is old — age is not evidence.
Finish with one batch report: a table of every ticket examined (identifier, held since, verdict: released → todo / released → triage / answered, handled / still held + one-line reason), followed by the count of holds that remain waiting on a human. One message, not a ping per ticket.
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.
- 3d ago First seen · 31 lines · 23 tokens per session scan A 496bffc002af
factory-unblock is a command published in the GitHub repository watt-mind/factory (10 stars, last pushed 3d ago), licensed Apache-2.0. It adds 23 tokens to every session and 801 once invoked, about $0.0001 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
release
Prepare, cut, and verify a warren release — tracker audits, version bump, CHANGELOG curation, ROADMAP update, push, then watch the pipeline through to published artifacts.
app-build
Run the sprint — launch developer agents in parallel, review each PR, gate to QA, surface bugs back into the loop.
app-run
Mostly-autonomous end-to-end run — idea → scope-lock → sprint loop → ship-readiness, surfacing only blockers and the two human gates (scope-lock, ship).
app-status
Show the current state of the project — vision, sprint goal, board, blockers, daily report.
app-audit
Grade an existing app against the Mobify Studio House KB and Axiom standards — fan out the specialist auditors, produce a severity-ranked gap report, build a remediation backlog, then fix (safe fixes automatically, risky changes only with your approval).
app-plan
Plan the next sprint — tech-manager turns backlog + impl specs into a parallelizable board.