dsh-doc

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

Install

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.

agentmods
npx agentmods add skills/deepseek-ai/deepseek-harness/dsh-doc
Any agent
npx skills add deepseek-ai/deepseek-harness --skill dsh-doc
Clone the repo
git clone --depth 1 https://github.com/deepseek-ai/deepseek-harness

Made for: Claude Code, Codex.

Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,479 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00095 $0.03479
Opus 5 $0.00048 $0.01740
Sonnet 5 $0.00019 $0.00696
Haiku 4.5 $0.00010 $0.00348

Measured yesterday against content hash 2c9bd2b966d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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

1 near-identical copy found in the catalogue:

  • dsh-doc — 100% identical, 0 lines differ
.agents/skills/dsh-doc/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 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-sqlite 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 · 129 lines

Files

What ships with it

9 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.

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. yesterday 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 (204,393 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 3,479 once invoked, about $0.0005 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 2026-08-30.

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