BD xiaohongshu-skills
小红书自动化技能集合。支持认证登录、内容发布、搜索发现、社交互动、复合运营。 当用户要求操作小红书（发布、搜索、评论、登录、分析、点赞、收藏）时触发。
小红书自动化技能集合。支持认证登录、内容发布、搜索发现、社交互动、复合运营。 当用户要求操作小红书（发布、搜索、评论、登录、分析、点赞、收藏）时触发。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
The same skill appears in 1 more place: ClawHub
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: 32. 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. 7 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 694 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 75: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -35 of 8 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
The skill's declared requirements omit important runtime needs (Chrome, Python environment, access to the user's home/profile and ability to control processes) and its instructions ask for sensitive inputs (phone numbers, SMS codes, cookies/QR images) — the pieces are plausible for an automation tool but the omissions and process-control ability are inconsistent and warrant caution.
LLM: suspicious (medium) · VirusTotal: benign · 9 Mar 2026