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BF ss-requirements-to-teambition

从 SaleSmartly 客服会话中自动采集带标签的对话，经 AI 分析提取需求，创建 Teambition 任务。用于客服反馈→需求管理自动化。触发词：SS需求采集、客服需求整理、SaleSmartly会话转任务、聊天记录转需求、客户反馈建任务、采集会话创建TB任务。当用户想把 SaleSmartly 中的客户会话整理成 Teambition 需求任务时使用。

ClawHub Agent Skills author: azusa v1.0.4 MIT-0 11 files body ≈ 352 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/data/ss_sessions_YYYY-MM-DD.json, scripts/data/

ProcedureInfrastructuretype 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%
96
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/data/ss_sessions_YYYY-MM-DD.json, scripts/data/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token references/execution_guide.md:49
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **调用**：`team…kV3`
    quoted
  • low Secrets in code secret-high-entropy-token references/execution_guide.md:109
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **调用**：`team…eV3`
    quoted
  • low Secrets in code secret-high-entropy-token references/execution_guide.md:126
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **调用**：`team…sV3`
    quoted
  • low Secrets in code secret-high-entropy-token references/tb_mcp_setup.md:46
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    重启后对 AI 说「帮我查一下 TB 项目列表」，如果 AI 能调用 `team…sV3` 就说明配置成功。
    quoted

Files scanned: 11. 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")
  • warning missing-ref reference to a missing file: scripts/data/ss_sessions_YYYY-MM-DD.json
  • warning missing-ref reference to a missing file: scripts/data/

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/data/ss_sessions_YYYY-MM-DD.json, scripts/data/
  • 0Tools and files. 2 referenced file(s) missing: scripts/data/ss_sessions_YYYY-MM-DD.json, scripts/data/
  • 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
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 352 tokens
  • 100Running it twice. No mutating operations

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 183: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
The skill matches its automation purpose, but it needs review because it ships a real-looking SaleSmartly API key and moves raw customer support conversations into local files and Teambition tasks.
LLM: suspicious (high) · 9 Jul 2026