SKILLEMALL.ai

AC wakehook

Install, configure, authorize and run wakehook so the user's agent (OpenClaw or Hermes) runs their morning routine when they wake up. wakehook turns Google Health / Fitbit sleep data into a neutral user.awake event and POSTs it to the agent's inbound webhook, which turns it into a wake/agent action. Use when the user wants wake-triggered automations, mentions wakehook, or asks to "do something when I wake up".

ClawHub Hermes author: Robbe Verhelst v1.0.1 MIT-0 30 files body ≈ 2 661 tokens Open the sourceclawhub.ai analyzed 35 h ago

Install, configure, authorize and run wakehook so the user's agent (OpenClaw or Hermes) runs their morning routine when they wake up.

As a process C 64/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:26
    Pipe-to-shell installer from a well-known host (still executes remote code) (negated — the text forbids it)
    1. **Bun ≥ 1.3** — `bun --version`; install with `curl -fsSL https://bun.sh/install | bash`.
    negated

Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 413 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 64/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Consistency. The Hermes dialect needs category and tags
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 10 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 2661 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
  • -2localhost URLs: will not work for another user
  • +2Single-language instructions
  • +3Description length 413: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (12 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
Wakehook appears to be a legitimate wake-automation service, but it needs review because its built-in replay endpoint can trigger wake actions without authentication in common poll-mode setups if the service is reachable.
LLM: suspicious (medium) · VirusTotal: · 15 Jun 2026