BF tg-cli
CLI skill for Telegram to sync chats, search messages, filter keywords, and monitor groups from the terminal
As a process F 45/100 · Will not run — References files that are not bundled: examples/tg-refresh.cron, examples/systemd/tg-refresh.service, examples/systemd/tg-refresh.timer
IntegrationTelegramSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 0
✓ No critical or high findings
Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: examples/tg-refresh.cron - warning
missing-refreference to a missing file: examples/systemd/tg-refresh.service - warning
missing-refreference to a missing file: examples/systemd/tg-refresh.timer
Process rating: all ten parameters 45/100
Will not run. References files that are not bundled: examples/tg-refresh.cron, examples/systemd/tg-refresh.service, examples/systemd/tg-refresh.timer
- 0Tools and files. 3 referenced file(s) missing: examples/tg-refresh.cron, examples/systemd/tg-refresh.service, examples/systemd/tg-refresh.timer
- 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. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1149 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 108: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 13 items
- +3Output format is stated explicitly
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.
External checks
ClawHub: clean
This is a disclosed Telegram command-line tool for syncing, searching, exporting, listening to, and explicitly sending Telegram messages, with privacy-sensitive local storage users should understand.
LLM: benign (high) · 28 May 2026