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 read-all-adrsgit 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/read-all-adrs)<a href="https://agentmods.dev/skills/davidondrej/skills/read-all-adrs"><img src="https://agentmods.dev/badge/skills/davidondrej/skills/read-all-adrs/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/read-all-adrs"><img src="https://agentmods.dev/badge/skills/davidondrej/skills/read-all-adrs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00119 |
| Opus 5.5 | $0.00014 | $0.00048 |
| Sonnet 5.5 | $0.00007 | $0.00024 |
| Haiku 4.5 | $0.00004 | $0.00012 |
Grade A, and why
read-all-adrs 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- read-all-adrs — 91% identical, 3 lines differ
What it actually says
Read EVERY single ADR .md file in this project's docs/adr/ folder, start to
finish.
DO NOT BE A LAZY CUNT. ACTUALLY DO THIS.
Read every single ADR file, for this project, in full.
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.
- 12d ago Changed b72e7f740027
- 1mo ago Changed · +1 lines c024ebd2a7f1
- 1mo ago Changed 113d361e619c
- 1mo ago Changed · +1 lines 7d93ae710e65
- 2mo ago First seen · 14 lines · 36 tokens per session scan A d45e40820a61
read-all-adrs is a skill published in the GitHub repository davidondrej/skills (4,181 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 119 once invoked, about $0.0001 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 2026-08-30.
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