df-dispatch-subagents

df-dispatch-subagents is a skill for Claude Code, Codex from OneDro1d/dark-factory. It costs 72 tokens per session (1,642 once invoked), scanned A, original, Apache-2.0.

A guide for giving work to independent coding sub-agents with a precise promised result and evidence that can be checked. A sub-agent is a separate automated worker operating with its own context.

In plain words
What is it for?
Use it whenever you spawn or delegate to sub-agents, especially for parallel tasks, by defining the exact deliverable, holding back test cases when needed, and checking files, diffs, commands, or test output.
Why use it?
It prevents teams from treating a worker's confident summary as proof. Required evidence makes delegated work easier to verify and exposes incomplete or unsupported results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it whenever you spawn or delegate to sub-agents, especially for parallel tasks, by defining the exact deliverable, holding back test cases when needed, and checking files, diffs, commands, or test output.

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Install with agentmods
npx agentmods add skills/onedro1d/dark-factory/df-dispatch-subagents
Install

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.

Any agent
npx skills add OneDro1d/dark-factory --skill df-dispatch-subagents
Clone the repo
git clone --depth 1 https://github.com/OneDro1d/dark-factory

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for df-dispatch-subagents

README.md
[![agentmods](https://agentmods.dev/badge/skills/onedro1d/dark-factory/df-dispatch-subagents/github.svg)](https://agentmods.dev/skills/onedro1d/dark-factory/df-dispatch-subagents)
Your own site
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/df-dispatch-subagents"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/df-dispatch-subagents/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.

agentmods 80×15 button for df-dispatch-subagents

Your own site · 80×15
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/df-dispatch-subagents"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/df-dispatch-subagents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,642 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.01642
Opus 5 $0.00036 $0.00821
Sonnet 5 $0.00014 $0.00328
Haiku 4.5 $0.00007 $0.00164

Measured 8d ago against content hash ca84deca8789, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

df-dispatch-subagents 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 8d 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.

skills/df-dispatch-subagents/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dark Factory — Dispatching Sub-Agents (Promise Theory)

Overview

A sub-agent is an autonomous promiser: it cannot be coerced, it lives in its own private context, and it makes best-effort promises, not guarantees. You don't command it — you specify a promise and assess the evidence it returns. Apply this every time you dispatch one.

When to delegate — an obligation, not an option

If it CAN be delegated under Promise Theory, it MUST be. Promise Theory is self-limiting, so this is a rule with its own brake built in: a task is delegable iff (a) the promise is crisply statable AND (b) it returns unforgeable evidence you can verify without redoing the work. If you cannot name both, it is not delegable — do it inline. Optimize for quality, not token budget: parallel fan-out costs more, and that is accepted.

Evidence is RAW, never prose. A sub-agent returns file:line, diffs, exit codes, verbatim command or query output — never "looks fine". Prose is forgeable: a confident summary is indistinguishable from a correct one, so a prose return means the promise was never verifiable and the task was not actually delegable. Raw evidence has a second purpose beyond forgeability — it preserves your own situational model. Delegate the fetching, keep the seeing; the map you build while reading real evidence is the byproduct that makes the next decision good.

Which tier — sort by judgment, never by the verb

Default HIGH; downgrade only on proven mechanicality — proven by a test, not by taste. Rank the task by irreducible judgment × verifiability, and never by the verb in its description: "write some code" can be the hardest judgment in the mission, and "analyse this" can be mere enumeration.

Tier Fits Evidence it must return
Cheapest / retrieval pure retrieval — locate, enumerate, fetch raw values, paths, line numbers
Mid bounded implementation against a spec you wrote, where a test (not taste) decides correctness diff + test output
High, fanned out adversarial review where diversity is the point: N refuters per finding, each prompted to kill it each refuter's own citation, separately
Most capable, inline (you) mission model, design, security judgment, the is-this-really-done gate — you are the one being verified

Read the full file on GitHub · 71 lines

Changes

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.

  1. 8d ago First seen · 71 lines · 72 tokens per session scan A ca84deca8789

Subscribe to this mod's changes

df-dispatch-subagents is a skill published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 72 tokens to every session and 1,642 once invoked, about $0.0004 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 2026-09-01.

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