SKILLEMALL.ai
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AF unbridled

Send and read messages on Facebook Messenger, WhatsApp, Instagram, LinkedIn, Twitter/X, Signal, Telegram, Discord and other networks through a Beeper account, using the cloud Matrix bridges (hungryserv). Installs bbctl, sets up E2EE with matrix-nio, bootstraps cross-signing from the user's Beeper recovery key, runs a long-running sync daemon for incoming decryption, and exposes a single Python wrapper to list/search/send/read chats across all bridged networks.

ClawHub Agent Skills author: Jérémie Kalfon v0.2.3 MIT-0 15 files · 2 scripts body ≈ 3 778 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 58/100 · Will not run — References files that are not bundled: scripts/beeper/

ProcedureDiscordTelegramWhatsAppGitHubSoftware developmentInfrastructureMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
58/100
Will not run
References files that are not bundled: scripts/beeper/
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/beeper/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 58/100

Will not run. References files that are not bundled: scripts/beeper/
  • 0Tools and files. 1 referenced file(s) missing: scripts/beeper/
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 17 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 48 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3778 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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
  • +2Single-language instructions
  • +3Description length 464: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 7 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
This is a transparent but very powerful Beeper messaging skill that can read, decrypt, and send private messages across many accounts, with some weak containment and runtime control gaps.
LLM: suspicious (high) · 28 May 2026