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CC reddit-geo-command-center

(no description)

ClawHub Hermes author: heroinyan-stack v1.0.0 MIT-0 2 files body ≈ 6 216 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Reddit in 2025-2026 made TWO transformative data-licensing deals: 1.

As a process C 61/100 · Has gaps — weak spots: when it triggers, consistency, running it twice

ProcedureSlackMarketingAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
C
70/100
safety, quality, tests
Safety 60%
100
Quality 40%
26
Run on models
none yet
Process rating
C
61/100
Has gaps
When it triggers w 12
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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

  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning body-long SKILL.md body ≈ 6216 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "sub_category"
  • note frontmatter-key unknown frontmatter key "trigger_keywords"
  • note frontmatter-key unknown frontmatter key "pricing"

Process rating: all ten parameters 61/100

  • 0When it triggers. No condition that starts the skill
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (reddit-geo-command-center) differs from the folder (geo-command-center)
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6216 tokens
  • 85Steps. 50 steps, 3 vague phrases
  • 100Tools and files. No external tools needed

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 0: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 50 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 26.

External checks

ClawHub: suspicious
The skill is mostly a disclosed marketing/reputation-monitoring playbook, but it asks users to provide ChatGPT session cookies without adequate handling safeguards.
LLM: suspicious (high) · VirusTotal: · 13 Aug 2026