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CD dsh-pr-description

Use when creating a deepseek-harness pull request, or when updating its description after later changes or a handled review round. Defines each description section, Issue references, test design, change-specific disclosures, and the AI Usage section with its levels, stages, grading rules, AI-DECLARATION badge, and update timing.

deepseek-ai/deepseek-harness Agent Skills author: deepseek-ai 1 file body ≈ 4 528 tokens Open the sourcegithub.com↗ analyzed 4 d ago

Defines each description section, Issue references, test design, change-specific disclosures, and the AI Usage section with its levels, stages, grading rules…

As a process D 36/100 · Unfinished process — References files that are not bundled: ../../../.github/pull_request_template.md, ../../../.github/issue-management/README.md, ../../../AGENTS.md

GeneratorGitHubSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
72
Run on models
none yet
Process rating
D
36/100
Unfinished process
References files that are not bundled: ../../../.github/pull_request_template.md, ../../../.github/issue-management/README.md, ../../../AGENTS.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:138
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | hint 人工独立 | `https://img.shields.io/badge/䷼%20AI…ccb?labelColor=… |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:139
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | assist 人工主导 | `https://img.shields.io/badge/䷼%20AI…9c3?labelColor=… |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:140
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | pair 人工引导 | `https://img.shields.io/badge/䷼%20AI…dd5?labelColor=… |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:141
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | copilot 人工把关 | `https://img.shields.io/badge/䷼%20AI…2e2?labelColor=… |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:142
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | auto 模型自主 | `https://img.shields.io/badge/䷼%20AI…9fe?labelColor=… |
    table

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../../.github/pull_request_template.md
  • warning missing-ref reference to a missing file: ../../../.github/issue-management/README.md
  • warning missing-ref reference to a missing file: ../../../AGENTS.md
  • warning missing-ref reference to a missing file: ../../../docs/AGENTS.md
  • warning missing-ref reference to a missing file: ../record-browser-gif/SKILL.md
  • warning missing-ref reference to a missing file: ../../../docs/i18n/translation-rules.md
  • warning missing-ref reference to a missing file: ../record-browser-gif/SKILL.md
  • warning missing-ref reference to a missing file: scripts/doc-budgets.manifest.json
  • note edit-residue the text marks something as outdated (lines 189): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: ../../../.github/pull_request_template.md, ../../../.github/issue-management/README.md, ../../../AGENTS.md
  • 0Tools and files. 8 referenced file(s) missing: ../../../.github/pull_request_template.md, ../../../.github/issue-management/README.md, ../../../AGENTS.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 13 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 70Execution cost. Instruction body is 4528 tokens
  • 100Steps. 51 steps
  • 100Consistency. Name and required fields are in place
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 330: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.