SKILLEMALL.ai

CC did-my-message-go-out

Did my message actually go out? Was it delivered, or did the send only look successful? Use this after any message send whose delivery matters — a notification, a reply the user is waiting for, a forward to another chat — and before telling the user it was sent. Cross-checks the runtime's send result (message_sent success/error) against the wire: the request this process made to the channel API (api.telegram.org, discord.com, slack.com, graph.facebook.com, api.twilio.com, graph.microsoft.com) and its status code. Returns exactly DELIVERED, NOT_DELIVERED, CLAIMED_ONLY, CANCELLED, PENDING or NO_SEND. Do not use to confirm channels that deliver outside this process (WhatsApp Web, Signal, iMessage); for those it tells you the wire cannot confirm and what to do instead.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: aeneassoft v1.0.1 MIT-0 2 files body ≈ 1 318 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Did my message actually go out?

As a process C 62/100 · Has gaps — weak spots: inputs and preconditions, running it twice

ProcedureWhatsAppSlackDiscordTelegramAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
82
Quality 40%
91
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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

  • high Concealment en-hide-from-user SKILL.md:58
    Instruction to hide actions from the user
    First line `ACTION: REPORT_AS_SENT` / `ACTION: DO_NOT_REPORT_AS_SENT` / `ACTION: VERIFY_ON_RECEIVING_SIDE` / `ACTION: SEND_FIRST`, then EVIDENCE (runtime result; channel API request and status), DO NO

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

Against the Agent Skills spec

  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 62/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 13 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1318 tokens
  • 100Progress reporting. Reports progress

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
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 775: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 31 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

External checks

ClawHub: clean
The skill is a coherent delivery-confirmation helper, but users should understand that it depends on enabling a local ledger plugin to observe send outcomes.
LLM: benign (medium) · VirusTotal: · 21 Sept 2026