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 nagentgit 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/nagent)<a href="https://agentmods.dev/skills/davidondrej/skills/nagent"><img src="https://agentmods.dev/badge/skills/davidondrej/skills/nagent/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/nagent"><img src="https://agentmods.dev/badge/skills/davidondrej/skills/nagent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 124 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Agent Snooping · line 141 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 141 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 167 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00051 | $0.01479 |
| Opus 5.5 | $0.00020 | $0.00592 |
| Sonnet 5.5 | $0.00010 | $0.00296 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
nagent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nagent
Read this before bb thread spawn. Use bb-cli for other thread operations.
Defaults
Use Codex gpt-5.6-sol, reasoning high, service tier fast ("GPT 5.6 Sol High Fast"). Use xhigh for larger refactors. The user's explicit choices override these defaults.
For a different requested model, use its catalog defaultReasoningEffort when unspecified, and enable fast only when asked. Do not infer a higher reasoning level from the model name.
Prefer bare bb; "$BB_CLI" is also valid when set.
Look Up the Target
bb project list --json
bb provider list --json
bb provider models <provider-id> --json
- Project: Match the name and confirm
sources[].pathis the requested repository. Always pass--project; never hardcode an ID. - Provider: Look it up. Common mappings are Cursor CLI →
acp-cursor, Codex/ChatGPT subscription →codex, and Claude Code →claude-code. Grok via Cursor is notacp-grok, which is Grok Build. - Model: Use the catalog ID. Match both
displayNameandsupportedReasoningEfforts[].description; model IDs, reasoning labels, and service tiers are separate.
For Cursor/Grok or Codex Max naming traps, read provider details. Verify examples against the current catalog; do not guess IDs or substitute a different provider.
Pi Agent: billing safety
--provider pi selects the harness; the full --model provider/model selects the inference and billing route. ChatGPT subscription example:
--provider pi --model openai-codex/gpt-6-astra --reasoning-level xhigh
Query Pi's catalog on the target --machine or --environment. openai-codex uses the ChatGPT subscription; OpenRouter and Vercel AI Gateway bill separately. Never substitute routes without the user's approval; stop if unavailable. After spawning, verify the full model ID and reasoning in the client/turn/requested execution metadata, not just the display name.
Permission Checks
The user's investigation/build workers default to full. A child cannot exceed the parent's permission mode, so verify the parent before requesting it and the child after spawning.
What ships with it
2 files 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.
- 1mo ago Changed bb0ca14c305f
- 1mo ago Changed · +10 lines 24a0e13e3324
- 1mo ago Changed · +6 lines c57be82f5349
- 1mo ago Changed · -109 lines · -101 tokens per session 4ca05f044ee4
- 1mo ago Changed 9d7d1ed38229
- 1mo ago Changed fd5d82869db4
- 1mo ago First seen · 220 lines · 152 tokens per session scan A 85d0af8b9bc7
nagent is a skill published in the GitHub repository davidondrej/skills (4,159 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 1,479 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 2026-09-05.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.