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 DailybotHQ/deepworkplan-skill --skill authorgit 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/skills/dailybothq/deepworkplan-skill/author)<a href="https://agentmods.dev/skills/dailybothq/deepworkplan-skill/author"><img src="https://agentmods.dev/badge/skills/dailybothq/deepworkplan-skill/author/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/dailybothq/deepworkplan-skill/author"><img src="https://agentmods.dev/badge/skills/dailybothq/deepworkplan-skill/author.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 | $0.00081 | $0.02696 |
| Opus 5.5 | $0.00032 | $0.01078 |
| Sonnet 5.5 | $0.00016 | $0.00539 |
| Haiku 4.5 | $0.00008 | $0.00270 |
Grade A, and why
deepworkplan-author 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 3d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepWorkPlan — Author
Author and maintain the current repository's agent kit: reusable skills, agents, and commands. Reason about the repo — never copy a generic kit. This sub-skill is also the executor of the skills reconciliation the Final Review performs (DWP spec 2.3.0 §6.1) — and, in a plan created under an earlier lifecycle, of that plan's separate "Skills & Agents Discovery" task.
Read scope
- Guide (essential — read for this flow):
../guide/skills-integration.md§11 — how skills and agents are referenced from plans and tasks. - Guide (conditional — read only when the trigger fires): none.
../guide/GUIDE.mdis the routing index.
Concepts
- Skill — a reusable, parameterized procedure invoked in-session (e.g.
/fix-lint). Encodes "how to do X". Lives in<skills-dir>/<name>/SKILL.md. - Agent — a specialized worker definition (role, model tier, tools, system prompt) dispatched to
handle a class of tasks (e.g.
reviewer,executor). Encodes "who does X". Lives in<agents-dir>/<name>.md. - Command — a thin slash-command entry point that routes to a skill or agent. Logic stays in the skill/agent; the command is a delegator.
| Need | Create |
|---|---|
| A repeatable procedure run in-session | Skill |
| A persistent role with its own model tier / tools | Agent |
| A shortcut to invoke a skill or agent | Command |
Frontmatter fields (cross-agent)
The tool-agnostic core every harness reads: name (kebab-case, English, unique) and
description (one line, starts with a verb — harnesses use it for relevance scoring).
Everything else is a per-harness opt-in: keep only the keys the host repo's neighboring
files already use, and never require a key the repo does not use.
| Field | Applies to | Meaning |
|---|---|---|
name |
skill / agent | kebab-case identifier; the registry/harness address |
description |
skill / agent | one line, starts with a verb; used for relevance scoring |
version |
skill | quoted SemVer ("1.0.0") — quote it so YAML keeps it a string |
documentation_url |
skill | canonical docs URL; replaces the legacy homepage (some harnesses treat homepage as a re-fetch source — never use it) |
user-invocable |
skill | true makes /<name> a slash command where the harness supports it |
allowed-tools |
skill | tool allowlist (e.g. Bash, Read, Grep, Glob, Edit, Write) where the harness enforces one |
model |
agent | abstract tier (light / standard / heavy) — never a vendor model ID (see "Model tiers") |
tools |
agent | the agent's tool list; keep it as narrow as the role allows |
What ships with it
3 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.
- 3d ago Changed 708f69dad752
- 4d ago Changed 13219c21452f
- 5d ago Changed 1c11e5537871
- 6d ago Changed d77ec2186a12
- 7d ago Changed b1aea1a0a2c5
- 9d ago Changed 58a0ace50a2e
- 11d ago Changed 321574117db5
- 15d ago Changed ee000b15c573
- 18d ago Changed 095d16833c92
- 29d ago First seen · 225 lines · 81 tokens per session scan A c284bca43744
deepworkplan-author is a skill published in the GitHub repository DailybotHQ/deepworkplan-skill (23 stars, last pushed 3d ago), licensed MIT. It adds 81 tokens to every session and 2,696 once invoked, about $0.0003 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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