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 agentmods add instructions/stephen-studying/daily-work-planner/agents-mdgit clone --depth 1 https://github.com/Stephen-studying/daily-work-plannerWrote 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/stephen-studying/daily-work-planner/agents-md)<a href="https://agentmods.dev/instructions/stephen-studying/daily-work-planner/agents-md"><img src="https://agentmods.dev/badge/instructions/stephen-studying/daily-work-planner/agents-md.svg" alt="Measured on agentmods" 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 | $0.00288 | $0.00288 |
| Opus 5 | $0.00144 | $0.00144 |
| Sonnet 5 | $0.00058 | $0.00058 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
daily-work-planner 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 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.
What it actually says
Daily Work Planner Repository Instructions
This repository contains a portable work-session planning skill. The installable skill folder is daily-work-planner/.
When using this repository as an agent skill source:
- For Codex or OpenAI-compatible skill loaders, use
daily-work-planner/SKILL.md. - For Claude Code, install to
~/.claude/skills/daily-work-planner. - For Gemini CLI, install to
~/.gemini/skills/daily-work-planneror the.agents/skillsalias. - For generic agents that read
AGENTS.md, usedaily-work-planner/AGENTS.md. - For command-line use, install the package and run
python -m daily_work_planner --help.
When modifying the repository:
- Keep
daily-work-planner/SKILL.mdas the Codex/OpenAI skill entrypoint. - Keep
daily-work-planner/AGENTS.mdas the generic agent entrypoint. - Keep scripts dependency-light and runnable with the Python standard library when possible.
- Treat
daily-work-planner/scripts/as the canonical Python package source; do not create a duplicate CLI implementation. - Run
python -B -m unittest discover -s testsbefore committing. - Do not commit generated
outputs/,.daily-work-planner/,work-session/,.ics, logs, or review logs.
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.
- 5d ago First seen · 21 lines · 288 tokens per session scan A 116decf40edc
daily-work-planner AGENTS.md is an instructions file published in the GitHub repository Stephen-studying/daily-work-planner (2 stars, last pushed 1mo ago), licensed MIT. It adds 288 tokens to every session, about $0.0014 per session on Opus 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 2026-08-31.
Other instructions, from other repositories
tokentelemetry AGENTS.md
AGENTS.md instructions for VasiHemanth/tokentelemetry, covering agents.md, project, common commands and project layout.
Grimoire CLAUDE.md
Claude Code instructions for sandsaber/Grimoire, a project described as: Local-first AI agents for your Obsidian vault.
TokenPilot AGENTS.md
AGENTS.md instructions for eowlsdh/TokenPilot, covering project knowledge base, structure, where to look, code map and conventions.
TokenPilot CLAUDE.md
Claude Code instructions for eowlsdh/TokenPilot, a project described as: Local-first macOS menu bar utility for AI coding-tool usage metadata.
memory-harbor AGENTS.md
AGENTS.md instructions for qiontoo/memory-harbor, covering memory harbor instructions, system identity, startup, placement and safety.
OctoOffice AGENTS.md
AGENTS.md instructions for Chepko932/OctoOffice, covering octooffice orchestration rules, language rule, default skill bootstrap, workflow orchestration (additive) and 1) plan node default.