SKILLEMALL.ai
RU Sign in

BF telegram-auto-topic

Add `/topic` to the start of any message in a Telegram forum group to auto-create a new topic from it. A title is generated automatically from the message content. Github: https://github.com/itstauq/telegram-auto-topic

ClawHub Agent Skills author: itstauq v0.1.8 3 files · 1 script body ≈ 905 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 46/100 · Will not run — References files that are not bundled: <link>

GeneratorTelegramGitHubInfrastructuretype 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
B
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
69
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: <link>
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration exfil-webhook-url scripts/telegram-auto-topic.sh:43
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    API="https://api.telegram.org/bot${BOT_TOKEN}"
    placeholder

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: <link>

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: <link>
  • 0Tools and files. 1 referenced file(s) missing: <link>
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 905 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 218: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill does what it claims for Telegram topic creation, but it handles a powerful Telegram bot token in a way that can expose it locally.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026