deepseek-harness: Skill for Claude Code

.agents/skills/dsh-doc/SKILL.md

dsh-doc is a skill for Claude Code, Codex from deepseek-ai/deepseek-harness. It costs 95 tokens per session (3,794 once invoked), scanned A, original, MIT.

A documentation guide for the DeepSeek Harness project, covering Markdown files, package README files, and its documentation website. It helps structure information for new users, developers, and maintainers.

In plain words
What is it for?
Use it when creating, reviewing, restructuring, migrating, or auditing DeepSeek Harness documentation.
Why use it?
It makes documentation easier to search, understand, update, and check for consistency. It also provides rules for metadata, bilingual pages, navigation, ownership of facts, and validation.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is deepseek-ai/deepseek-harness's own configuration. It tells Claude Code and Codex how to work on deepseek-harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything deepseek-harness configures →

About the project

DeepSeek Harness is an open-source framework for building and running AI agents, organized so that its functionality is provided through plugins. Developers use it to launch agent workflows through a local web interface or from source, while the catalogue add-ons extend the harness as plugins.

deepseek-ai/deepseek-harness · 250,433 stars · on GitHub · deepseek.com

Reuse

Borrowing it

Nothing to install: this file belongs to deepseek-ai/deepseek-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/deepseek-ai/deepseek-harness/master/.agents/skills/dsh-doc/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/deepseek-ai/deepseek-harness

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dsh-doc

README.md
[![agentmods](https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-doc/github.svg)](https://agentmods.dev/skills/deepseek-ai/deepseek-harness/dsh-doc)
Your own site
<a href="https://agentmods.dev/skills/deepseek-ai/deepseek-harness/dsh-doc"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-doc/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.

agentmods 80×15 button for dsh-doc

Your own site · 80×15
<a href="https://agentmods.dev/skills/deepseek-ai/deepseek-harness/dsh-doc"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-doc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,794 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00095 $0.03794
Opus 5.5 $0.00038 $0.01518
Sonnet 5.5 $0.00019 $0.00759
Haiku 4.5 $0.00010 $0.00379

Measured 16d ago against content hash a0f5a09bf759, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dsh-doc 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

  • dsh-doc — 100% identical, 8 lines differ
  • alego-doc — 94% identical, 19 lines differ
  • dsh-doc — 92% identical, 12 lines differ
.agents/skills/dsh-doc/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepSeek Harness documentation

Summary

The DeepSeek Harness documentation standard: make every page searchable, newcomer-readable, and exact enough for agents and maintainers, and keep the documentation website a tested projection of repository Markdown. Apply repository AGENTS.md files and executed gates first, then this workflow for kind-mapped metadata, progressive detail, line-aligned bilingual pages, corpus audits, and website publication. Preserve one owner per fact: source, tests, generated catalogs, package READMEs, guides, Agent Notes, and scratch each keep their own kind of truth. The session-persistence-jsonl README pair is the reference example of the format.

Table of Contents

Workflow

Follow this sequence for each requested scope. Keep the common reader path brief, but do not delete failures, ownership, limitations, or other required contracts merely to reduce words.

  1. Read root and more-specific AGENTS.md, the documentation standard, the target page, its source/tests, navigation owner, and bilingual record.
  2. Classify the page by one primary job and reader: product quick start, user task guide, contributor tutorial, architecture overview, package/subsystem reference, generated reference, agent instruction, decision record, or scratch.
  3. Place the page at its nearest owner. Keep package contracts beside package code; use docs/ for cross-package learning, user, developer, architecture, discussion, and expiring scratch material.
  4. Define the reader's starting state, observable outcome, likely failure, recovery path, and next useful depth before writing details.
  5. Add or revise YAML metadata — assign the kind that maps to the template for this document's job — then write Summary, Table of Contents, user-facing content, developer-facing content, optional Further Exploration, and final Dev Note in that order where the document type permits.
  6. Update the bilingual counterpart in the same pass. Keep headings, lists, tables, code, links, frontmatter layout, and physical line count aligned.
  7. Verify every claim against code, tests, generators, package metadata, or a current decision owner — and run the operations the page instructs, per the fact-check procedure below. Update the owner before any derivative artifact.
  8. Run focused checks, then pnpm run test:docs, pnpm run doc-sync, pnpm run lint, and git diff --check; re-read the complete diff for correctness and then for brevity and repository fit.

Read the full file on GitHub · 133 lines

Changes

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.

  1. 16d ago Changed · +1 lines a0f5a09bf759
  2. 1mo ago Changed · +3 lines 5704dcf1d81d
  3. 1mo ago Changed f4c1072a5418
  4. 1mo ago Changed 0de6b482d4bc
  5. 1mo ago First seen · 129 lines · 95 tokens per session scan A 2c9bd2b966d4

Subscribe to this mod's changes

dsh-doc is a skill published in the GitHub repository deepseek-ai/deepseek-harness (250,433 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 3,794 once invoked, about $0.0004 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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