Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/terrylica/cc-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/terrylica/cc-skills/tlg)<a href="https://agentmods.dev/plugins/terrylica/cc-skills/tlg"><img src="https://agentmods.dev/badge/plugins/terrylica/cc-skills/tlg/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/terrylica/cc-skills/tlg"><img src="https://agentmods.dev/badge/plugins/terrylica/cc-skills/tlg.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
tlg scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "tlg",
"description": "Telegram user-account messaging via MTProto (GramJS, Bun TypeScript) - send messages as yourself, list dialogs, 1Password credentials",
"version": "34.5.1",
"source": "./plugins/tlg",
"category": "productivity",
"author": {
"name": "terrylica",
"url": "https://github.com/terrylica"
},
"keywords": [
"telegram",
"gramjs",
"mtproto",
"messaging",
"user-account",
"1password"
],
"strict": false
}What it installs
The manifest is a name and a version. 15 skills travel with it, and installing the plugin installs all of them — 466 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill send-message A 34 tokens
- Skill draft-message A 38 tokens
- Skill dump-channel A 32 tokens
- Skill send-media A 30 tokens
- Skill cleanup-deleted A 31 tokens
- Skill search-messages A 32 tokens
- Skill create-group A 26 tokens
- Skill delete-messages A 30 tokens
- Skill download-media A 28 tokens
- Skill list-dialogs A 36 tokens
- Skill manage-members A 28 tokens
- Skill pin-message A 29 tokens
- Skill find-user A 34 tokens
- Skill forward-message A 29 tokens
- Skill mark-read A 29 tokens
What ships with it
2 files beside marketplace.json#tlg in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today Changed 64e527168b77
- yesterday Changed c4f9a3df15c5
- 3d ago Changed 698789ec5143
- 5d ago Changed 8bf66a24b387
- 6d ago Changed afca7c4b9269
- 7d ago Changed e786e16deb6f
- 9d ago Changed ffeb64144cf4
- 10d ago Changed bd52912a7db5
- 12d ago Changed e7646e30dbd6
- 17d ago First seen · 20 lines scan A d1cba8fb4cad
tlg is a plugin published in the GitHub repository terrylica/cc-skills (0 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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