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跨会话口令沟通 + 主动式并行会话感知，用于回答「怎么让另一个窗口读到这份文件」「并行会话之间怎么传结论」「另一个会话刚才做了什么」这类问题

ClawHub Hermes author: zhaoxinghua09-cell v1.2.3 MIT-0 4 files body ≈ 675 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

跨会话口令沟通 + 主动式并行会话感知，用于回答「怎么让另一个窗口读到这份文件」「并行会话之间怎么传结论」「另一个会话刚才做了什么」这类问题

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsPeople and hiringtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 70 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
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "copyright"
  • note frontmatter-key unknown frontmatter key "license_scope"
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "updated"
  • note frontmatter-key unknown frontmatter key "fingerprint"
  • note frontmatter-key unknown frontmatter key "governance"
  • note frontmatter-key unknown frontmatter key "languages"
  • note frontmatter-key unknown frontmatter key "aliases"
  • note frontmatter-key unknown frontmatter key "brand"
  • note frontmatter-key unknown frontmatter key "nomos_standard"
  • note frontmatter-key unknown frontmatter key "discoverable_by_ai"
  • note frontmatter-key unknown frontmatter key "attestation"
  • note frontmatter-key unknown frontmatter key "ambassador"
  • note frontmatter-key unknown frontmatter key "trigger_keywords"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 675 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 70: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
The skill openly aims to pass instructions between sessions, but its design uses persistent memory rules that could make another session read and repeat files without clear fresh consent.
LLM: suspicious (high) · 28 Sept 2026