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 lukas-grigis/ralphctl --skill ralphctl-writing-for-agentsgit clone --depth 1 https://github.com/lukas-grigis/ralphctlWrote 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/lukas-grigis/ralphctl/ralphctl-writing-for-agents)<a href="https://agentmods.dev/skills/lukas-grigis/ralphctl/ralphctl-writing-for-agents"><img src="https://agentmods.dev/badge/skills/lukas-grigis/ralphctl/ralphctl-writing-for-agents/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/lukas-grigis/ralphctl/ralphctl-writing-for-agents"><img src="https://agentmods.dev/badge/skills/lukas-grigis/ralphctl/ralphctl-writing-for-agents.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 | $0.00097 | $0.01463 |
| Opus 5.5 | $0.00039 | $0.00585 |
| Sonnet 5.5 | $0.00019 | $0.00293 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
ralphctl-writing-for-agents 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 2d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing for Agents
Adapted from mattpocock/skills — "Writing for Agents" (MIT). Adapted for ralphctl's harness contract.
A reference for writing any document an agent consumes: a project context file, a skill, a task spec, a set of requirements. The packaging differs; the writing does not. The same levers make each one predictable — the agent takes the same process every run, rather than producing the same output.
The session's prompt still owns the output: its length targets, required sections, and what-to-leave-out rules win over anything here.
When this applies
- Readiness — the context-file proposal. Every line is loaded into every future session, so each one must change behaviour versus the default. Point at what the environment already states instead of restating it, but keep every exact command the prompt asks for (build and test lines, setup and verify skill bodies).
- Refine — the requirements are read by the planner and every implementing session. Give each criterion a checkable completion condition, keep each meaning in one place, and phrase the target behaviour positively.
Context pointers
A context pointer is a line in context that names material outside it and encodes when to reach it — a skill's description, or a context-file line naming a doc. The pointer's wording, not its target, decides when and how reliably the agent reaches the material. A must-have target behind a weakly worded pointer is a variance bug: sharpen the wording first; inline the material only if that fails.
A pointer states what the material is and lists the branches — distinct cases — that should trigger it. Every word of an always-loaded pointer costs on every turn, so prune it hardest:
- Front-load the leading word; the start of the pointer does the triggering.
- One trigger per branch. Synonyms naming one branch are one branch written twice.
- Cut identity the body already carries.
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.
- 2d ago First seen · 114 lines · 97 tokens per session scan A f1ef10f53bcc
ralphctl-writing-for-agents is a skill published in the GitHub repository lukas-grigis/ralphctl (24 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 1,463 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-18.
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