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BD mingdata-dmp-auth

明日DMP API凭证管理和统一API调用网关。负责AK/SK凭证的配置、验证和管理，提供统一的API签名生成和HTTP请求封装，作为所有明日DMP技能（人群圈选、人群洞察、人群投放等）的API调用基础设施。

ClawHub Agent Skills author: mingri26 v1.0.1 MIT-0 3 files body ≈ 1 947 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

明日DMP API凭证管理和统一API调用网关。负责AK/SK凭证的配置、验证和管理，提供统一的API签名生成和HTTP请求封装，作为所有明日DMP技能（人群圈选、人群洞察、人群投放等）的API调用基础设施。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentMarketingtype 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
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
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

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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token scripts/minri_dmp_api.py:154
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "example": "python minri_dmp_api.py save-credentials G3N3yfBc 2kTg…uqG"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/minri_dmp_api.py:164
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "example": "python minri_dmp_api.py save-credentials G3N3yfBc 2kTg…uqG"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/minri_dmp_api.py:444
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    保存凭证: python minri_dmp_api.py save-credentials G3N3yfBc 2kTg…uqG
    quoted
  • low Secrets in code secret-high-entropy-token scripts/minri_dmp_api.py:470
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "example": "python minri_dmp_api.py save-credentials G3N3yfBc 2kTg…uqG"
    quoted
  • low Secrets in code secret-password-literal scripts/minri_dmp_api.py:475
    Hard-coded password / key literal (may be an example)
    secret_key = sys.argv[3]

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 82 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1947 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 104: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (14 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
This skill has a legitimate DMP API-auth purpose, but it handles long-lived credentials in chat and persistent shared configuration in a way users should review carefully.
LLM: suspicious (high) · 11 Jun 2026