SKILLEMALL.ai
RU Sign in

BC schedule-reminder

双保险智能日程提醒系统。触发词: 提醒我、记得、别忘了、明天、后天、下午、上午、几点、会议、开会、截止、截止日期、日程、安排、计划。即使Gateway失效也能准时提醒。使用场景：(1) 用户说'提醒我XX'时创建提醒, (2) 主动从对话中捕捉日程信息, (3) 每日定时推送日程预览。支持微信、Telegram等多渠道。NOT for: 日历同步, 会议室预定, 项目管理。

ClawHub Agent Skills author: JayTing511 v1.0.1 MIT-0 8 files body ≈ 586 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ReferenceTelegramInfrastructuretype 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
77/100
safety, quality, tests
Safety 60%
79
Quality 40%
73
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Dangerous commands cmd-persistence scripts/install.mjs:202
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    execSync(`launchctl bootstrap gui/${uid} ${shellQuote(plistPath)}`, { stdio: 'ignore' });
    quoted
  • medium Dangerous commands cmd-persistence scripts/install.mjs:205
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    execSync(`launchctl bootstrap gui/${uid} ${shellQuote(dailyPlistPath)}`, { stdio: 'ignore' });
    quoted
  • medium Dangerous commands cmd-persistence scripts/install.mjs:212
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (string literal in code, not executed)
    console.log(`   launchctl bootstrap gui/${uid} ${plistPath}`);
    code literal
  • medium Dangerous commands cmd-persistence scripts/install.mjs:213
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (string literal in code, not executed)
    console.log(`   launchctl bootstrap gui/${uid} ${dailyPlistPath}`);
    code literal
  • low Dangerous commands cmd-cron-mention SKILL.md:154
    Mentions editing / listing crontab (detector / deny-list definition)
    3. 检查 crontab：`crontab -l | grep reminder`
    detector

Files scanned: 8. 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 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 1 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 586 tokens
  • 100Progress reporting. Reports progress

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
  • +3Output format is not stated: the model decides each time
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 188: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a reminder skill that creates local and OpenClaw scheduled reminders, with disclosed background jobs and messaging behavior that fit its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026