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 mark-readgit 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/mark-read)<a href="https://agentmods.dev/skills/terrylica/cc-skills/mark-read"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/mark-read/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/mark-read"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/mark-read.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 | $0.00029 | $0.00384 |
| Opus 5.5 | $0.00012 | $0.00154 |
| Sonnet 5.5 | $0.00006 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
mark-read scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
89% identical to forward-message — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Mark Telegram Chat as Read
Mark all messages in a chat as read, clearing unread badges and mentions.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
Preflight
- Session must exist:
~/.local/share/gramjs/<profile>.session- If missing, run
/tlg:setupfirst
- If missing, run
Usage
/usr/bin/env bash << 'EOF'
ROOT="$(cc-plugin-root tlg)"
SCRIPT="$ROOT/scripts/tg-cli.ts"
# Mark a chat as read
bun "$SCRIPT" mark-read <chat_id_or_username>
# Examples
bun "$SCRIPT" mark-read 2124832490
bun "$SCRIPT" mark-read @username
EOF
Parameters
| Parameter | Type | Description |
|---|---|---|
| chat | string/int | Chat to mark as read |
Post-Execution Reflection
After this skill completes, check before closing:
- Did the command succeed? — If not, fix the instruction or error table that caused the failure.
- Did parameters or output change? — If tg-cli.ts's interface drifted, update Usage examples and Parameters table to match.
- Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.
Only update if the issue is real and reproducible — not speculative.
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.
- 1mo ago First seen · 49 lines · 29 tokens per session scan A 5da35f04c15e
mark-read is a skill published in the GitHub repository terrylica/cc-skills (0 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 384 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to forward-message, differing in 33 lines, and is treated as a copy.
Other skills, from other repositories
low-code-platforms
Low-code and internal tool platforms including Retool, Supabase, Appsmith, Tooljet, n8n, and Zapier. Use when building admin panels, internal tools, workflow automations, or integrating low-code platforms with custom code.
host-ssh
Run PowerShell on Windows hosts or a POSIX shell on macOS/Linux hosts over SSH, via the machine registry in the guide Environment (GASSHMACHINES). Use when the user needs host OS tasks — drives, dotnet, Playwright, processes, SSH into their laptop or desktop — not file I/O on paths already visible in the workspace…
nav-compact
Clear conversation context while preserving knowledge via context marker. Use when user says "clear context", "start fresh", "done with this task", or when approaching token limits.
agentic-orchestration
Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems. Use when designing how multiple agents coordinate — splitting up tasks, defining handoffs, or choosing an orchestration topology.
social-media-strategy
Platform-specific tactics, content optimization, audience growth, and analytics-driven social media strategy. Use when planning a social strategy, optimizing posts for a specific platform, or growing and measuring an audience.
book-publishing
Multi-book content, voice, and production workflows for nonfiction authoring. Use when planning a book, maintaining consistent voice across chapters, structuring a manuscript, or running an end-to-end publishing pipeline.