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BC screenshot-telegram-direct

Capture website screenshots and send to Telegram via direct API. Works around OpenClaw's broken image delivery (issue

ClawHub Agent Skills author: niccoreyes v1.0.0 MIT-0 4 files · 1 script body ≈ 1 241 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

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

IntegrationTelegramInfrastructuretype 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
80/100
safety, quality, tests
Safety 60%
90
Quality 40%
65
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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.
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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Exfiltration read-dotenv screenshot-send.sh:6
    Reads a .env file (code comment)
    #   1. cp .env.example .env
    comment
  • low Exfiltration read-dotenv screenshot-send.sh:12
    Reads a .env file (code comment)
    # Auto-source .env if it exists in script directory
    comment
  • low Exfiltration read-dotenv screenshot-send.sh:28
    Reads a .env file (quoted — discussed, not commanded)
    echo "  1. cp .env.example .env"
    quoted
  • low Exfiltration read-dotenv screenshot-send.sh:30
    Reads a .env file (detector / deny-list definition)
    echo "  3. source .env"
    detector
  • low Exfiltration exfil-webhook-url screenshot-send.sh:67
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    "https://api.telegram.org/bot$TELEGRAM_BOT_TOKEN/sendPhoto")
    placeholder
  • low Exfiltration read-dotenv skill.md:21
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv skill.md:52
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv skill.md:59
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv skill.md:95
    Reads a .env file
    # Auto-source .env if it exists in script directory
  • low Exfiltration exfil-webhook-url skill.md:170
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    "https://api.telegram.org/bot$TOKEN/sendDocument"
    vendor-hostquoted

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")

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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 11 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 13 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1241 tokens
  • 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

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)
  • +3Description length 117: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This skill does what it advertises by sending website screenshots to Telegram, but users must treat the URLs, screenshots, and API tokens as sensitive.
LLM: benign (high) · VirusTotal: · 29 May 2026