BD lunheng-article-pipeline
学术论文/深度长文/行业分析流水线：三角验证+M门+中文AI痕迹闸；exec 禁用为声明式纪律，检索/封面外发与 run/项目名/.tmp/ 周期性写盘须 Phase 0 同意。
学术论文/深度长文/行业分析流水线：三角验证+M门+中文AI痕迹闸；exec 禁用为声明式纪律，检索/封面外发与 run/项目名/.tmp/ 周期性写盘须 Phase 0 同意。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureInfrastructureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
How to improve
- 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: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 9 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 21 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2014 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)
- +3Description length 89: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -218 emoji in the instructions: noise for the model
- +2Single-language instructions
- +4Structure: 10 headings
- +3Step-by-step instructions: 21 items
- +4Reference files are cited in the instructions (1 of 7)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: suspicious
This is a disclosed writing and research pipeline, but it needs review because its multi-agent permission limits depend on host configuration and it persists operational telemetry.
LLM: suspicious (high) · VirusTotal: · 14 Sept 2026