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 ralfyishere/rules-with-receipts --skill delegation-disciplinegit clone --depth 1 https://github.com/ralfyishere/rules-with-receiptsWrote 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/ralfyishere/rules-with-receipts/delegation-discipline)<a href="https://agentmods.dev/skills/ralfyishere/rules-with-receipts/delegation-discipline"><img src="https://agentmods.dev/badge/skills/ralfyishere/rules-with-receipts/delegation-discipline/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/skills/ralfyishere/rules-with-receipts/delegation-discipline"><img src="https://agentmods.dev/badge/skills/ralfyishere/rules-with-receipts/delegation-discipline.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 | $0.00101 | $0.01592 |
| Opus 5 | $0.00051 | $0.00796 |
| Sonnet 5 | $0.00020 | $0.00318 |
| Haiku 4.5 | $0.00010 | $0.00159 |
Grade A, and why
Delegation Discipline 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 11d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Delegation Discipline
Purpose
Delegation multiplies throughput and divides accountability — unless discipline restores it. A subagent is a capable worker with zero context you didn't give it and outputs that are claims, not facts until checked. The two failure poles: trusting delegated output blindly (their confabulations become your confabulations, with your confidence attached), and delegating so vaguely the work comes back plausible-but-useless. This skill is the contract layer between you and your delegates.
When to use this skill
- Before spawning any subagent, background task, or parallel worker.
- When incorporating delegated results into your own deliverable — the verification half applies even if someone else did the delegating.
- When a task exceeds one context window or one attention span: broad searches, multi-file audits, independent parallel workstreams.
When NOT to use this skill
- Two-minute lookups you can do directly — delegation overhead (writing the brief, verifying the result) exceeds the task. Delegate work, not errands.
- Judgment calls that are the actual heart of the task (the architecture decision, the final recommendation). Delegate the inputs to judgment — research, enumeration, verification — not the judgment itself.
Operating procedure
1 — Decide whether to delegate. Delegate when: work is independent and parallelizable; it's context-heavy exploration whose conclusion you need but whose details you don't; it would flood your context with material you'd only skim. Keep when: it's tightly coupled to your working state; the brief would be longer than the task; verifying the result costs more than producing it.
2 — Write the brief as a contract. A subagent knows nothing you don't tell it. The brief includes:
- Goal and why (one line of mission prevents a page of misfire).
- Inputs: exact paths, links, constraints — not "the config file" but which one.
- Deliverable shape: exactly what to return (a list of file:line findings; a table of options with tradeoffs; a yes/no with evidence). Vague deliverable specs return essays.
- Done-criteria and boundaries: what NOT to do (don't edit, don't fix, report only), scope limits, effort cap.
- The authoritative evidence layer, when the delegate judges something: which source wins on conflict (the diff over the narration, the data over the summary, the code over the report). Delegates drift toward the easiest-to-read evidence unless told which layer is truth.
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.
- 11d ago First seen · 78 lines · 0 tokens per session scan A ba8714e6df7d
Delegation Discipline is a skill published in the GitHub repository ralfyishere/rules-with-receipts (2 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 1,592 once invoked, about $0.0005 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 skills, from other repositories
happiness-skill
A Chinese-language guide to happiness based on reducing unmet wants, focusing on the present, and treating happiness as a trainable skill.
setup-matt-pocock-skills
A setup skill that configures engineering skills for a repository, including its issue tracker, labels, and documentation layout. A repository is the project folder managed by version control.
frontend-design
A design guide for building polished web interfaces such as pages, dashboards, forms, navigation, and reusable UI components. It covers HTML, CSS, JavaScript, and common frontend frameworks.
alterlab-cobrapy
Build and analyze genome-scale constraint-based metabolic models with COBRApy — flux balance analysis (FBA), flux variability analysis (FVA), gene and reaction knockouts, flux sampling, and SBML model I/O. Use when simulating metabolic networks, predicting growth or knockout phenotypes, or running systems-biology and…
alterlab-depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use when identifying cancer-specific genetic vulnerabilities, finding synthetic lethal interactions, checking whether a gene is essential in given cell lines, or…
alterlab-qutip
Simulates open quantum systems with QuTiP, the Quantum Toolbox in Python, solving Lindblad master equations (mesolve), Monte Carlo trajectories (mcsolve), and unitary dynamics (sesolve). Use when studying master-equation or Lindblad dynamics, decoherence, dissipation, quantum optics, cavity QED, or open-system time…