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Daily tech/AI/geek news digest powered by RSS + web search. 基于 RSS 和网络搜索的每日科技/AI/极客新闻摘要。触发后先交互配置，再自动生成。

ClawHub Hermes author: nemo v1.0.2 MIT-0 14 files body ≈ 3 095 tokens Open the sourceclawhub.ai↗ analyzed 20 h ago

Daily tech/AI/geek news digest powered by RSS + web search.

As a process F 32/100 · Will not run — References files that are not bundled: {URL}

ProcedureGitHubSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
32/100
Will not run
References files that are not bundled: {URL}
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 103 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: {URL}

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: {URL}
  • 0Tools and files. 1 referenced file(s) missing: {URL}
  • 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
  • 60Consistency. The Hermes dialect needs category and tags
  • 100Steps. 51 steps
  • 100Execution cost. Instruction body is 3095 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)
  • +3Description length 103: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -213 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 51 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +3All 4 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill coherently fetches public tech news, stores local preferences and caches, and optionally writes digest files, with no evidence of deception or exfiltration.
LLM: benign (high) · VirusTotal: · 22 Jun 2026