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AC telegram-topic-rename

Rename Telegram forum topics and change icons via Bot API. Use when user asks to name/rename a topic, change topic title, update topic icon, or says "命名这个topic", "给话题起个名", "换个图标". Requires TELEGRAM_BOT_TOKEN environment variable.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files · 1 script body ≈ 415 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Rename Telegram forum topics and change icons via Bot API.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationTelegramSoftware developmenttype 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
97/100
safety, quality, tests
Safety 60%
98
Quality 40%
96
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration exfil-webhook-url scripts/rename-topic.sh:202
      Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
      CURL_ARGS=(-s "https://api.telegram.org/bot${BOT_TOKEN}/editForumTopic")
      placeholder
    • low Exfiltration net-credential-use scripts/rename-topic.sh:202
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      CURL_ARGS=(-s "https://api.telegram.org/bot${BOT_TOKEN}/editForumTopic")
      vendor-host

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 415 tokens
    • 100Running it twice. No mutating operations

    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

    • +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
    • +5Description quotes 2 example trigger phrases
    • +3Description length 229: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.