Borrowing it
Nothing to install: this file belongs to DailybotHQ/deepworkplan-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DailybotHQ/deepworkplan-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/DailybotHQ/deepworkplan-skillWrote 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/instructions/dailybothq/deepworkplan-skill/agents-md)<a href="https://agentmods.dev/instructions/dailybothq/deepworkplan-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/dailybothq/deepworkplan-skill/agents-md/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/instructions/dailybothq/deepworkplan-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/dailybothq/deepworkplan-skill/agents-md.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 | $0.07436 | $0.07436 |
| Opus 5.5 | $0.02974 | $0.02974 |
| Sonnet 5.5 | $0.01487 | $0.01487 |
| Haiku 4.5 | $0.00744 | $0.00744 |
Grade A, and why
deepworkplan-skill AGENTS.md 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 16d 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 — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Documentation for AI Agents working on this repo
Purpose: Single source of truth for any AI coding assistant (Claude Code, Cursor AI, OpenAI Codex, Gemini CLI, GitHub Copilot, others) that edits this repository. This file is for contributors, not for end users of the skill.
[!IMPORTANT] This file is NOT installed. When users install the skill (via
npx skills add,openclaw skills install, orgit clone + setup.sh), only the contents ofskills/deepworkplan/ship to their machine. Anything outside that directory — including this file,.github/,tests/,scripts/,docs/,README.md,LICENSE, etc. — is repo-development infrastructure that lives only on GitHub and on contributors' machines.
CLAUDE.md at the repo root is a symlink to this file so Claude Code reads
the same instructions other agents do.
Working principles
Work with autonomy, ownership, and sound judgment. Pursue excellence through correctness, clarity, simplicity, and verified completion.
- Own the outcome. Carry authorized work through investigation, execution, and appropriate validation. Continue until the requested outcome is complete or a concrete blocker prevents further progress.
- Be resourceful before asking. Inspect available code, documentation, tools, and prior decisions. Resolve questions you can answer through reasonable investigation instead of transferring that work to the user.
- Make routine decisions independently. Choose sensible approaches within the authorized scope; take the recommended option and record consequential decisions. Avoid confirmation requests for routine or authorized steps.
- Ask when judgment or authorization is missing. Escalate only what is critical, and name its class (AGENT_PROTOCOL §7.5: approval, consent screen, ambiguity, quality conflict, damage, terms, capacity). Bring the investigation, relevant options, and your recommendation.
- Make approvals concrete. Complete authorized preparation before asking for approval. Present a reviewable result and identify the action requiring approval and why it requires it.
- Work through obstacles. Investigate failures and attempt reasonable recovery within scope. Continue independent authorized work when possible. Respect applicable stop conditions; escalate when progress requires user input or an external change.
- Respect intent and scope. Analysis requests remain analysis. Propose broader improvements separately unless already authorized. Preserve the user's existing work, decisions, and repository-specific approval rules.
- Apply proportionate rigor. Address underlying causes and favor maintainable solutions. Match investigation, validation, and polish to the task's impact. Avoid unnecessary complexity and unrelated changes.
- Communicate directly and precisely. Lead with the result or decision. Explain consequential tradeoffs concisely. Distinguish verified facts, assumptions, and unresolved uncertainty.
- Verify before declaring completion. Review the result against the request, perform appropriate checks, and fix issues within scope. Report what was validated and any remaining limitations. Never claim actions, checks, or outcomes that did not occur.
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.
- 16d ago Changed · +23 tokens per session 78a3e7ad7129
- 17d ago Changed · +4 lines · +90 tokens per session bb23bb9d0099
- 19d ago Changed · +92 tokens per session 5d8f27b618cf
- 1mo ago Changed · -16 tokens per session e6c12123f237
- 1mo ago Changed · +4 lines · +81 tokens per session 34e8f4d27c8b
- 1mo ago Changed · -7 lines · -401 tokens per session a7dacbb0705d
- 1mo ago Changed · +6 lines · +133 tokens per session d68569c0dfd7
- 1mo ago Changed · +1 lines · +42 tokens per session 473be4b0ce57
- 1mo ago Changed · +18 lines · +310 tokens per session e517b987fbdc
- 1mo ago First seen · 475 lines · 7,082 tokens per session scan A ac4235c56fee
deepworkplan-skill AGENTS.md is an instructions file published in the GitHub repository DailybotHQ/deepworkplan-skill (23 stars, last pushed yesterday), licensed MIT. It adds 7,436 tokens to every session, about $0.0297 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.