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BF ssq-probability-analyzer

双色球一站看：全网专家观点汇总 + 娱乐选号 + 开奖即时核对中奖 + 胆拖帮你算省钱；免费、不卖号、不忽悠，把"为什么中不了"讲明白。当用户说"给我这期双色球的娱乐组合 / 看看这期双色球专家推荐 / 帮我核对开奖中没中 / 双色球选号推荐"时直接使用。内置随机性检验、选号套路打假、真实联网数据、22 项自检护栏；数学上任何选号思路都不优于随机，仅供娱乐、须量力而行，绝不作为收益依据。

ClawHub Agent Skills author: hmily741963 v2.1.51 MIT-0 76 files body ≈ 4 981 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

双色球一站看：全网专家观点汇总 + 娱乐选号 + 开奖即时核对中奖 + 胆拖帮你算省钱；免费、不卖号、不忽悠，把"为什么中不了"讲明白。当用户说"给我这期双色球的娱乐组合 / 看看这期双色球专家推荐 / 帮我核对开奖中没中 / 双色球选号推荐"时直接使用。内置随机性检验、选号套路打假、真实联网数据、22…

As a process F 39/100 · Will not run — References files that are not bundled: scripts/lib/REPORT_PATH.txt, scripts/lib/ssq_error_log.txt

AnalyzerSoftware developmentData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
67
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: scripts/lib/REPORT_PATH.txt, scripts/lib/ssq_error_log.txt
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Dangerous commands cmd-persistence references/operations.md:110
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    - 任务名 `SSQ_…art`：`schtasks /create /tn SSQ_…art /tr "绝对路径\ssq_…bat" /sc weekly /d MON,WED,SAT /st 20:10 /ru SYSTEM /rl highest`
    quoted

Files scanned: 76. 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")
  • warning missing-ref reference to a missing file: scripts/lib/REPORT_PATH.txt
  • warning missing-ref reference to a missing file: scripts/lib/ssq_error_log.txt
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/lib/REPORT_PATH.txt, scripts/lib/ssq_error_log.txt
  • 0Tools and files. 2 referenced file(s) missing: scripts/lib/REPORT_PATH.txt, scripts/lib/ssq_error_log.txt
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4981 tokens
  • 100Steps. 109 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 14 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

  • +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
  • -221 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 195: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 109 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (5 of 7)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill mostly generates lottery reports, but it also directs privileged background automation and scans or writes across local user profiles, which is too much authority for that purpose.
LLM: suspicious (high) · 7 Sept 2026