SKILLEMALL.ai

AC telegram-send-file

Send local files and documents to a Telegram user via bot. Use when user asks to "send", "发", "发给我", "发送" a file, note, or document via Telegram. Handles files from iCloud Drive paths or local paths. Handles files up to 50MB (auto-zips if over limit). Triggers on: "发送文件", "发笔记", "send me", "send file", "发给我这个文件", "把xxx发过来", "send document".

ClawHub Agent Skills author: wuu Dao v1.0.3 MIT-0 3 files body ≈ 1 316 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

ReferenceTelegramInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
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 · 0

    ✓ No critical or high findings

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

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Send local files and documents to a Telegram user via bot. Use whe… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 64/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 20 mutating operations with no state check
    • 40Consistency. Frontmatter name (telegram-send-file) differs from the folder (telegram-file-sender)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 32 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 1316 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 10 top-level sections: this looks like several domains in one skill
    • high The skill tells the model to perform an irreversible action with no human approval

    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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 342: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (6 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: clean
    This skill openly prepares user-selected local files for sending to Telegram, but users should confirm the exact file and chat before use because it can transfer any readable file path.
    LLM: benign (medium) · 28 May 2026