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 skills add Lab2A/metalworks --skill distribution-engagegit clone --depth 1 https://github.com/Lab2A/metalworksWrote 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/skills/lab2a/metalworks/distribution-engage)<a href="https://agentmods.dev/skills/lab2a/metalworks/distribution-engage"><img src="https://agentmods.dev/badge/skills/lab2a/metalworks/distribution-engage.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 5.1 | $0.00190 | $0.01187 |
| Opus 5 | $0.00095 | $0.00593 |
| Sonnet 5 | $0.00038 | $0.00237 |
| Haiku 4.5 | $0.00019 | $0.00119 |
Grade A, and why
distribution-engage 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 7d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
Before any other tool, run the preflight MCP tool (or metalworks preflight on
the CLI). If it reports setup issues or that an update is available, surface that
to the user in one line and help them resolve it (install the missing extra/key,
or pip install -U metalworks) before continuing. Skip only if the user has
already passed preflight this session.
Read the reference; never reverse-engineer the source. The moment you need to know how
metalworks behaves — provider/model resolution, which source/reader runs, config precedence,
an error you hit, or the async run loop — STOP and read docs/operating-metalworks.md
(bundled with this plugin) before opening any file under src/. It is the source of truth;
do not derive behavior from source. (Full docs: https://metalworks.lab2a.ai/docs.) For a
long-running run, poll status with the Monitor tool or a bounded loop — never a blind sleep.
You are drafting one disclosed, founder-voiced Reddit reply for a GEO
participation target — a real thread the demand report's distribution_geo
stream surfaced (the threads the audience is already asking in). This is
Distribution's execution arm: D6 names which thread; you engage it, value-first
and compliance-gated. DRAFTING ONLY — a human posts.
Steps
-
Get a participation target. Run
/distribution-geo(or thedistribution_geoMCP tool) on thereport_idfirst if you don't have one — eachparticipation_targetcarries a realpermalink, a groundedwhy(what the audience is asking there), acommunity, and asuggested_angle. If the user hasn't run a report, point them at/demand-reportfirst. -
Call the
distribution_engageMCP tool with thereport_idand the target'spermalink+why(pluscommunity,suggested_angle, and an optionalvoice). On the CLI:metalworks distribution engage <report_id> --permalink <url> --why "<what they're asking>" --community r/Name --angle "<angle>". It drafts the reply for that exact thread, applies the no-upvote / native-first invariants, and runs the deterministic honesty gate (heuristic_check) over it.
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.
- 7d ago First seen · 77 lines · 190 tokens per session scan A 76e8ea7c3618
distribution-engage is a skill published in the GitHub repository Lab2A/metalworks (6 stars, last pushed 2mo ago), licensed MIT. It adds 190 tokens to every session and 1,187 once invoked, about $0.0010 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.
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