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.
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.
curl -O https://raw.githubusercontent.com/deepseek-ai/deepseek-harness/master/.agents/skills/dsh-prose-standard/SKILL.mdgit clone --depth 1 https://github.com/deepseek-ai/deepseek-harnessWrote 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/deepseek-ai/deepseek-harness/dsh-prose-standard)<a href="https://agentmods.dev/skills/deepseek-ai/deepseek-harness/dsh-prose-standard"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-prose-standard/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/deepseek-ai/deepseek-harness/dsh-prose-standard"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/dsh-prose-standard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 77 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00059 | $0.01867 |
| Opus 5 | $0.00030 | $0.00933 |
| Sonnet 5 | $0.00012 | $0.00373 |
| Haiku 4.5 | $0.00006 | $0.00187 |
Grade A, and why
dsh-prose-standard 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 11d 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- dsh-prose-standard — 100% identical, 0 lines differ
- dsh-prose-standard — 92% identical, 6 lines differ
- dsh-prose-standard — 92% identical, 6 lines differ
- dsh-prose-standard — 92% identical, 6 lines differ
- dsh-prose-standard — 92% identical, 0 lines differ
- alego-prose-standard — 88% identical, 8 lines differ
- freddie-prose-standard — 84% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepSeek Harness Prose Standard
Write enough to preserve the contract, then remove reasoning transcripts, repetition, and decoration. A contract is an obligation, invariant, precondition, postcondition, or compatibility promise that a caller, callee, implementer, producer, or consumer relies on. This skill owns editorial judgment and required prose coverage; use dsh-doc for placement, budgets, bilingual pairs, and documentation gates, and dsh-trim-cot-leakage for hunting and fixing reasoning-transcript leakage. It is guidance, not a script.
Treat contract, boundary, shape, surface, seam, gate, and vocabulary as terms to check before use, not banned words. First ask whether the exact rule, API, field set, type, validation, timing point, component split, or failure states the fact better. Keep a term when it names the exact technical subject, including caller/callee contracts and security/process boundaries.
Comments describe non-obvious contracts or rationale that code cannot express; they do not restate what code already implies.
Inputs and exclusions
Require an explicit scope. If it is missing, report the required input and stop; do not infer a repository-wide scope or begin an interview.
Accept mode: automatic | interactive; default to automatic. Enter interactive mode only when the user explicitly requests questions or calibration.
mode controls questions, not write authority. Review and audit tasks report findings without editing; explicitly requested write, fix, or trim tasks apply clear changes.
Always exclude vendor/ from discovery, review, and edits, even when the requested scope is the whole repository. Do not follow a symlink into it. Put exclusions after inclusion globs so a later include cannot re-admit it: for example, end ripgrep commands with --glob '!vendor/**', and give Git commands an explicit :(exclude)vendor/** pathspec. If the requested scope contains only vendor/, report that no eligible files remain.
What ships with it
1 file 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.
- 11d ago First seen · 82 lines · 59 tokens per session scan A df56be84f9ee
dsh-prose-standard is a skill published in the GitHub repository deepseek-ai/deepseek-harness (218,563 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,867 once invoked, about $0.0003 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.
Other skills, from other repositories
dsh-web-community-plugin-developer
Develop a DSH community plugin and register it in the dsh-web Community Plugins index — author the plugin in the contributor's own repository following the official cordis bundle standard, add its entry to packages/dsh-community-plugins/community.json, regenerate the index with scripts/community-index, rebuild and…
dsh-web-skin-developer
Build a new skin for the dsh-web skin collection (DSH Web GUI) and publish it into the Skin Center — the first-level settings section — scaffold with scripts/dsh-skin-new, author the v2 skin.json manifest plus skin.css token remap (pure asset directory, no package.json, no build step), validate with scripts/dsh-skin…
dsh-web-pet-developer
Create a pet for the dsh-pet plugin and integrate it into the dsh web GUI — author a v2 pet.json manifest plus an 8-column x 9-row atlas per the Codex/hatch-pet contract (live2d pets, voice packs and status decorations included), drop it into the pet-center user directory or contribute it as a built-in asset under…
manage-taskboard
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept…
industry-research-method
A Chinese-language method for researching an industry by mapping its supply chain, tracking policies and news, and writing sourced reports. It separates the chain into upstream inputs, midstream production, and downstream distribution or use.
company-research-method
A documented process for researching a company using supplied files and selected public sources. It produces a company overview with business details, sourced financial figures, and stated risks.