BD 热点检索输出报文
定时从白名单企业（默认 OpenAI·Google·NVIDIA·Anthropic·DeepSeek·阿里巴巴·字节跳动·Tesla·SpaceX）抓取24小时内热点，用搜索工具 content摘要直接撰写中文短文（默认400 字），发送纯文字（默认3 条、无图）到推送渠道。模型、搜索、白名单、字数、推送渠道、触发时间全部可配置，含反幻觉+敏感词回避规则。
定时从白名单企业（默认 OpenAI·Google·NVIDIA·Anthropic·DeepSeek·阿里巴巴·字节跳动·Tesla·SpaceX）抓取24小时内热点，用搜索工具 content摘要直接撰写中文短文（默认400 字），发送纯文字（默认3…
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Secrets in code
secret-high-entropy-tokenreferences/prompt.md:42High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| `${RECIPIENT}` | `o9…@….wechat` |table -
low Dangerous commands
cmd-background-processSKILL.md:227Starts a background / autostarted processnohup systemctl --user stop openclaw-gateway > /dev/null 2>&1 &
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 39/100
- 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. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (热点检索输出报文) differs from the folder (redian-jiansuo-baochuwen)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 17 steps
- 100Execution cost. Instruction body is 1766 tokens
- low 10 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
- +1No license
- +2Single-language instructions
- +3Description length 180: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (12 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.