BC long-text-tracker
长文本追踪系统 - 让分段内容保持连贯。 触发条件（必须全部满足）：分段数≥3 且 总字数≥3000 且 段落间需逻辑连贯。 适用：推文系列、教程系列、报告系列、连载内容。 触发词：写系列推文、写教程系列、写报告系列、连载创作、分段创作长文本 不触发： - 单篇文章（分段数<3） - 独立短文（总字数<3000） - 无连贯性要求的合集 - 讨论"如何写系列"但无具体创作需求 歧义处理：无法判断时询问"是要创作系列内容（≥3段），还是单篇内容？"
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 4. 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") - note
frontmatter-keyunknown frontmatter key "tools"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1900 tokens
- 100Running it twice. No mutating operations
- low 13 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)
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- -232 emoji in the instructions: noise for the model
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 228: enough signal without eating the budget
- +4Structure: 48 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (38 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.
External checks
ClawHub: clean
This is a coherent long-form writing tracker that saves project files locally, with user guidance needed around draft retention and the optional email delivery step.
LLM: benign (high) · VirusTotal: · 29 May 2026