SKILLEMALL.ai

BF news-aggregator-free

国内外社会、科技、军事新闻聚合引擎(免费版),自发搜索、筛选、整理新闻要点. 覆盖国内科技、国内军事、国际科技、国际军事四大板块。核心能力: - 多源新闻搜索(国内科技/军事+国际科技/军事) - 自发去重与可信度过滤 - 结构化汇总(标题+来源+时间+要点) - 按类别分类整理。可自发提升工作效率

ClawHub Hermes author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 817 tokens Open the sourceclawhub.ai analyzed 2 d ago

国内外社会、科技、军事新闻聚合引擎(免费版),自发搜索、筛选、整理新闻要点.

As a process F 35/100 · Will not run — References files that are not bundled: 链接

IntegrationPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: 链接
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

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  3. 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 · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 150 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning missing-ref reference to a missing file: 链接
  • 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 "summary_zh"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 链接
  • 0Tools and files. 1 referenced file(s) missing: 链接
  • 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
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 817 tokens
  • 100Running it twice. No mutating operations
  • low 13 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
  • +2Single-language instructions
  • +3Description length 150: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: clean
This is a markdown-only news aggregation skill whose disclosed behavior fits its purpose, though its tool scope and input wording are broader than ideal.
LLM: benign (medium) · VirusTotal: · 27 Jul 2026