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.
npx skills add terrylica/cc-skills --skill send-messagegit 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/skills/terrylica/cc-skills/send-message)<a href="https://agentmods.dev/skills/terrylica/cc-skills/send-message"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/send-message/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/skills/terrylica/cc-skills/send-message"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/send-message.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.02914 |
| Opus 5.5 | $0.00014 | $0.01166 |
| Sonnet 5.5 | $0.00007 | $0.00583 |
| Haiku 4.5 | $0.00003 | $0.00291 |
Grade A, and why
send-message scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Send Telegram Message
Send a message from your personal Telegram account (not a bot) via MTProto.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
Preflight
Before sending, verify the session is authorized (not just that the file exists):
bun "$SCRIPT" check-auth
If EXPIRED, run /tlg:setup first (uses 3-step non-interactive auth pattern).
Supergroup-First Methodology
The Bruntwork group (-1003958083153) is a supergroup with Topics. All messages to this group MUST target a specific topic — never post to the bare supergroup without a topic target.
Why supergroup over basic chat:
- Server-global message IDs. Every member sees the same
id=Nfor each message. Both sides' Claude Code resolves citations identically — no viewer-qualifier needed, no cross-boundary ambiguity. - Topic namespaces. Policies don't get buried between daily check-ins. Each subject has its own searchable thread with independent pins.
- AI-agent addressability. Claude Code can target reads/writes to specific topics via
reply_to_msg_id, enabling precise routing: "post this bug report to Bug Reports" or "search Policies for the carve-out decision." - Emoji reactions as acknowledgment signals. Reactions are programmatically readable via
message.reactions.results— enables lightweight ACK checking without requiring a text reply.
Topic selection discipline: When composing a message, select the most specific topic from the Topic Registry below. Use General only as a fallback. Never cross-post the same message to multiple topics.
Citation convention: Bare id=N citations resolve identically for every member. When referencing a prior message, cite its ID. Claude Code on both sides can look it up autonomously via client.get_messages(supergroup_id, ids=N).
Sending to a topic via tg-cli.ts: use the --reply-to flag with the topic's root_msg_id. See the Topic Registry section below for root_msg_id values.
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.
- 18d ago Changed 737a88c7fcca
- 24d ago First seen · 214 lines · 34 tokens per session scan A 0d29e0d1bde3
send-message is a skill published in the GitHub repository terrylica/cc-skills (0 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 2,914 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-02.
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