SKILLEMALL.ai

BF telegram-contract-ops

Telegram-based internal contract generation and eID intake workflow for Vietnamese operations. Use when setting up, migrating, or operating a bot that: (1) receives structured contract input in Telegram, (2) generates `.docx` contracts from a fixed company template, (3) receives Vietnamese electronic ID screenshots, OCRs key fields, and converts them into contract-ready input, and (4) routes behavior by Telegram group for contract workflows.

ClawHub Agent Skills author: Vĩnh Tâm v1.0.1 MIT-0 15 files body ≈ 428 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: assets/windows/

ProcedureTelegramWordInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
97
Quality 40%
65
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/windows/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration read-dotenv references/deployment.md:106
    Reads a .env file
    source ./.env.telegram
  • low Exfiltration exfil-webhook-url scripts/telegram-planb-bot.js:8
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    const API = TOKEN ? `https://api.telegram.org/bot${TOKEN}` : '';
    placeholder
  • low Exfiltration net-credential-use scripts/telegram-planb-bot.js:60
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    const res = await fetch(`https://api.telegram.org/file/bot${TOKEN}/${info.file_path}`);
    vendor-host

Files scanned: 14. 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: Telegram-based internal contract generation and eID intake workflo… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: assets/windows/

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/windows/
  • 0Tools and files. 1 referenced file(s) missing: assets/windows/
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 428 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
  • +4No input/output examples
  • -34 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 445: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 34 items
  • +4Reference files are cited in the instructions (7 of 7)

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

External checks

ClawHub: suspicious
This skill does what it says, but it handles government ID, banking, and contract data while leaving sensitive files and OCR text insufficiently controlled.
LLM: suspicious (high) · VirusTotal: · 29 May 2026