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BF assethub-claw

AssetClaw技能（官网：http://www.medfix.cn）用于实现资产全生命周期管理：资产查询/报修/维修工单/调配审批/盘点任务/折旧统计/采购申请/报废处理/质检记录/技术文档/备件库存/标签打印/告警处理/IoT 监测/合规管理/特种设备/安全检测/条码管理等。适用于需要快速查询、创建、审批各类资产业务单据的场景。v1.7.0（2026-07-29）同步后端 swagger：**101 模块 / 1,809 ops / 15 业务域**。

ClawHub Agent Skills author: cmu4hlee v1.7.0 MIT-0 18 files · 2 scripts body ≈ 22 068 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 28/100 · Will not run — References files that are not bundled: references/api-catalog-2026-07-29.json

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
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
59
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: references/api-catalog-2026-07-29.json
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-credential-use scripts/assethub_api.sh:424
    Credential used in a network call (verify the destination is the intended service)
    curl_args+=(-H "Idempotency-Key: $idempotency_key")
  • low Exfiltration net-credential-use scripts/assethub_api.sh:472
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    -H "X-Risk-Confirm-Token: $confirm_token"
    quoted

Files scanned: 18. 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 body-long SKILL.md body ≈ 22068 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/api-catalog-2026-07-29.json

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: references/api-catalog-2026-07-29.json
  • 0Tools and files. 1 referenced file(s) missing: references/api-catalog-2026-07-29.json
  • 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
  • 10Execution cost. Instruction body is 22068 tokens: crowds the task out of the window
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (assethub-claw) differs from the folder (assetclaw)
  • 100Steps. 109 steps
  • low 68 top-level sections: this looks like several domains in one skill
  • 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
  • -2localhost URLs: will not work for another user
  • -282 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 137 headings
  • +3Step-by-step instructions: 109 items
  • +4Has examples (85 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
The skill is useful for AssetHub asset work, but it exposes broad admin APIs and stores login credentials in local temporary files, so it should be reviewed before install.
LLM: suspicious (high) · 29 Jul 2026