SKILLEMALL.ai

AC social-matrix-manager-claw

自媒体矩阵管家虾 — 多账号自媒体矩阵的统一调度中心。监控数据、分析互动、检测异常、生成日报。 **当以下情况时使用此 Skill**: (1) 需要汇总多个自媒体账号(抖音/小红书/视频号/B站/微博)的运营数据 (2) 需要生成矩阵日报,标出异常账号 (3) 需要检测爆款内容(播放量超均值N倍)并推送预警 (4) 需要监控账号健康状态(限流、封禁、数据下滑) (5) 需要分析评论区舆情(负面词汇、投诉预警) (6) 需要生成内容排期建议或跨账号复用建议 (7) 用户提到"矩阵数据"、"账号汇总"、"多账号"、"自媒体监控"、"粉丝互动"、"爆款预警"、"账号健康"、"内容排期"、"矩阵日报"、"平台数据"、"涨粉分析"、"评论监控"、"限流检测"、"矩阵运营"

ClawHub Agent Skills author: Ricky v1.0.0 MIT-0 6 files body ≈ 426 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 6. 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")

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. No external tools needed
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 426 tokens
  • 100Running it twice. No mutating operations

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 337: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a local social-media metrics reporting helper with optional report sharing, and the artifacts do not show hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026