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BD DM-skills

通过 dm-cli 命令行工具与 DeepMiner (DM) 系统交互。**凡是涉及 DM/DeepMiner 系统的任务，必须先读此 Skill。** 触发条件：用户提到 "使用 DM"、"发给 DM"、"用 DM 问一下"、"DM 帮我..."、"DeepMiner 执行..." 等任何涉及 DM 系统的任务请求。即使对话历史中已使用过 dm-cli，也必须先读此 Skill 确保遵循完整指导。

ClawHub Agent Skills author: DMPM-Mininglamp v1.7.2 MIT-0 8 files · 3 scripts body ≈ 4 091 tokens Open the sourceclawhub.ai↗ analyzed 33 h ago

通过 dm-cli 命令行工具与 DeepMiner (DM) 系统交互。凡是涉及 DM/DeepMiner 系统的任务，必须先读此 Skill。 触发条件：用户提到 "使用 DM"、"发给 DM"、"用 DM 问一下"、"DM 帮我..."、"DeepMiner 执行..." 等任何涉及 DM…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 0

✓ No critical or high findings

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 40Consistency. Frontmatter name (DM-skills) differs from the folder (deepminer-skill)
  • 70Execution cost. Instruction body is 4091 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 57 steps
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -233 emoji in the instructions: noise for the model
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 202: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (36 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill is a disclosed DeepMiner CLI integration with some sensitive-but-expected data forwarding and background polling behavior users should understand before installing.
LLM: benign (medium) · VirusTotal: · 5 Jul 2026