BF playlet-xhs-feed
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短剧-小红书信息源 —…
As a process F 31/100 · Will not run — References files that are not bundled: references/core_workflow.md, references/examples.md, assets/default_cover.png
ProcedureSoftware developmentAI and agentstype 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.
- 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: 0. 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") - warning
missing-refreference to a missing file: references/core_workflow.md - warning
missing-refreference to a missing file: references/examples.md - warning
missing-refreference to a missing file: assets/default_cover.png
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: references/core_workflow.md, references/examples.md, assets/default_cover.png
- 0Tools and files. 3 referenced file(s) missing: references/core_workflow.md, references/examples.md, assets/default_cover.png
- 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
- 40Consistency. Frontmatter name (playlet-xhs-feed) differs from the folder (playlet-xiaohongshu-feed)
- 100Steps. 54 steps
- 100Execution cost. Instruction body is 3098 tokens
- 100Running it twice. No mutating operations
- low 16 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- -234 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 197: enough signal without eating the budget
- +4Structure: 50 headings
- +3Step-by-step instructions: 54 items
- +4Has examples (18 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.
External checks
ClawHub: clean
This skill is a coherent report generator for Xiaohongshu short-drama trends, with disclosed API, local report, cache, and browser-opening behavior.
LLM: benign (high) · VirusTotal: · 23 Jun 2026