SKILLEMALL.ai

CD lunheng-article-pipeline

学术论文/深度长文/行业分析流水线:含同行评审与期刊/发布渠道匹配建议(advisory)。不调用执行类工具(exec/process/code_execution,声明式);主控持有会话编排与状态类工具(多 Agent 派发/收报告的设计内必需面)。标准架构 = 多 Agent 九角色流水线(角色卡 11 张,含 T0 主控 + T9b 压力测试;T9b 默认不跑);worker 不可用按节点接管并披露(详正文)。Routine 写盘(status.md / audits/)已声明;心跳为 opt-in「Operational Telemetry」。v2.14.0 起新增 G18 方法论审计(12 项清单 + D2 评分)。

ClawHub Agent Skills author: zuoyunlai v2.18.1 MIT-0 78 files body ≈ 1 714 tokens Open the sourceclawhub.ai↗ analyzed 10 d ago

学术论文/深度长文/行业分析流水线:含同行评审与期刊/发布渠道匹配建议(advisory)。不调用执行类工具(exec/process/codeexecution,声明式);主控持有会话编排与状态类工具(多 Agent 派发/收报告的设计内必需面)。标准架构 = 多 Agent 九角色流水线(角色卡 11 张,含…

As a process D 38/100 · Unfinished process — References files that are not bundled: references/permissions.md, references/agents/00-主控-扩展职责.md, references/_shared/真源/phase-order.yaml

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: references/permissions.md, references/agents/00-主控-扩展职责.md, references/_shared/真源/phase-order.yaml
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 · 0

✓ No critical or high findings

Files scanned: 78. 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: references/permissions.md
  • warning missing-ref reference to a missing file: references/agents/00-主控-扩展职责.md
  • warning missing-ref reference to a missing file: references/_shared/真源/phase-order.yaml
  • warning missing-ref reference to a missing file: references/dispatch/
  • warning missing-ref reference to a missing file: references/agents/07-审计-auditor.md
  • warning missing-ref reference to a missing file: references/gates/14-中文AI痕迹-gate.md
  • warning missing-ref reference to a missing file: references/checkers/中文AI痕迹-checker.md
  • warning missing-ref reference to a missing file: references/dispatch/T9-同行评审.md
  • warning missing-ref reference to a missing file: references/pipeline-readme.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/permissions.md, references/agents/00-主控-扩展职责.md, references/_shared/真源/phase-order.yaml
  • 0Tools and files. 9 referenced file(s) missing: references/permissions.md, references/agents/00-主控-扩展职责.md, references/_shared/真源/phase-order.yaml
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 9 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1714 tokens

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
  • +4No input/output examples
  • -212 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 317: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 16 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This is a disclosed multi-agent writing and research workflow with broad but purpose-aligned file, web, and session orchestration behavior.
LLM: benign (medium) · VirusTotal: · 10 Oct 2026