David Ondrej's Agent Skills is a repository of reusable instruction packages for AI coding, research, and workflow agents. Each skill describes a focused process for tasks such as code improvement, research, documentation, transcript work, and agent coordination. The catalogue entries are the repository's own skills and related agent configuration.
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 davidondrej/skills --skill prompt-for-othersgit clone --depth 1 https://github.com/davidondrej/skillsWrote 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/davidondrej/skills/prompt-for-others)<a href="https://agentmods.dev/skills/davidondrej/skills/prompt-for-others"><img src="https://agentmods.dev/badge/skills/davidondrej/skills/prompt-for-others/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/davidondrej/skills/prompt-for-others"><img src="https://agentmods.dev/badge/skills/davidondrej/skills/prompt-for-others.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 | $0.00038 | $0.00602 |
| Opus 5.5 | $0.00015 | $0.00241 |
| Sonnet 5.5 | $0.00008 | $0.00120 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
prompt-for-others 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 5d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt For Others
Write for an AI agent on a teammate's machine with no chat context. The teammate may be non-technical and will not edit the prompt.
Workflow
- Test the fix on the user's machine unless already tested. Never include untested commands.
- Draft the paragraph in this exact order:
- Goal in one sentence.
- Context in 1–2 sentences: what the tool does, the problem, and why the fix is needed.
- Steps as exact commands, in backticks, in order.
- Verify with exact commands and expected output.
- Stop rule: what to do if a precondition is missing.
- Report back: the 1–2 facts the teammate should receive.
- Read as an agent with no context: could it run this without questions? Inline any missing context.
- Give the user one ready-to-copy paragraph in a blockquote, without headings, bullets, or commentary; then stop.
Rules
- One paragraph. If it needs two, the fix is too big; split it or say so.
- Commands must be copy-safe: absolute where it matters, no placeholders like
<your-name>unless the agent can resolve them ($(id -u)is fine). - Prefer reversible steps. If a step is destructive, say so and require the agent to confirm with the human first.
- Never include secrets, tokens, or private URLs. Point to where the agent can find them locally instead.
- Explain why the change is needed in plain English.
- Assume nothing is installed. Use a stop rule instead of an install fallback unless the user asked for one.
Example
Upgrade the repo-sync background service on this Mac to v0.1.1 and restart it. Context: repo-sync (Homebrew cask
vectal-labs/tap/repo-sync) auto-syncs Git repos. v0.1.1 fixes misleading popups during network blips. The cask needs an explicit upgrade, followed by a service restart. Steps: runbrew update && brew upgrade --cask repo-sync, thenlaunchctl kickstart -k gui/$(id -u)/com.vectal-labs.repo-sync. Verify withbrew list --cask --versions repo-sync(must show 0.1.1) andtail -3 ~/Library/Logs/repo-sync/stdout.log(must show a freshwatching N repositoriesline). Ifbrewor the cask is missing, stop and tell me instead of installing anything. Report back the version and the log line.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 22d ago Changed 2753e8a6e0fd
- 1mo ago Changed · +1 lines · -76 tokens per session ee0191b81397
- 1mo ago First seen · 35 lines · 114 tokens per session scan A 9118db0cdd88
prompt-for-others is a skill published in the GitHub repository davidondrej/skills (4,159 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 602 once invoked, about $0.0002 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 2026-09-07.
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feishu
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Cortex
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