Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/terrylica/cc-skillsnpx agentmods add skills/terrylica/cc-skills/dump-channelWrote 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/dump-channel)<a href="https://agentmods.dev/skills/terrylica/cc-skills/dump-channel"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/dump-channel/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/dump-channel"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/dump-channel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 127 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Output Handling · line 68 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00032 | $0.01200 |
| Opus 5 | $0.00016 | $0.00600 |
| Sonnet 5 | $0.00006 | $0.00240 |
| Haiku 4.5 | $0.00003 | $0.00120 |
Grade A, and why
dump-channel scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dump Telegram Channel History
Archive a complete Telegram channel/group/chat to NDJSON + downloaded media files.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
Preflight
- Session must exist:
~/.local/share/gramjs/<profile>.session- If missing, run
/tlg:setupfirst
- If missing, run
- User must be subscribed to (or a member of) the target channel/chat
Usage
/usr/bin/env bash << 'EOF'
ROOT="$(cc-plugin-root tlg)"
SCRIPT="$ROOT/scripts/tg-cli.ts"
# Full dump: NDJSON + all media (photos, videos, documents)
bun "$SCRIPT" dump @ChannelName ./output/ChannelName
# NDJSON only (skip media downloads — much faster)
bun "$SCRIPT" dump @ChannelName ./output/ChannelName --no-media
# Dump by numeric chat ID
bun "$SCRIPT" dump -1001234567890 ./output/MyChannel
# Use a different profile
bun "$SCRIPT" -p missterryli dump @ChannelName ./output/ChannelName
EOF
Parameters
| Parameter | Type | Description |
|---|---|---|
| chat | string/int | Channel username (@name) or numeric chat ID |
| output | path | Output directory (messages.ndjson + media/ created inside) |
--no-media |
flag | Skip media downloads, produce NDJSON only |
Output Structure
output/ChannelName/
├── messages.ndjson ← one JSON object per line, chronological (oldest first)
└── media/
├── 6.jpg ← named by message ID for cross-referencing
├── 12.png
├── 45.mp4
└── ...
NDJSON Record Schema
Each line is a JSON object with these fields:
| Field | Type | Description |
|---|---|---|
id |
int | Telegram message ID |
date |
string | ISO 8601 timestamp with timezone |
text |
string/null | Full message text (no truncation) |
has_media |
bool | Whether message contains media |
media_type |
string/null | GramJS class name (MessageMediaPhoto, etc.) |
media_file |
string/null | Filename in media/ dir (e.g., "6.jpg") |
views |
int/null | View count (channels only) |
forwards |
int/null | Forward count |
reply_to_msg_id |
int/null | Parent message ID if reply |
grouped_id |
int/null | Album group ID (shared across album messages) |
edit_date |
string/null | ISO 8601 timestamp of last edit |
sender.id |
int | Sender's Telegram user/channel ID |
sender.name |
string | Display name (channel title or user first name) |
sender.username |
string/null | @username if set |
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.
- 4d ago First seen · 130 lines · 32 tokens per session scan A 6a64d6ac5d48
dump-channel is a skill published in the GitHub repository terrylica/cc-skills (66 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,200 once invoked, about $0.0002 per session on Opus 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 2026-09-05.
Other skills, from other repositories
impact-report-writer
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.
investment-memo-generator
Investment memo creation combining financial analysis, document generation, and structured templates. Use when creating investment memos, pitch decks, deal summaries, or investment committee materials.
codebase-documenter
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible…
document-skills
Professional document creation, editing, and analysis for Office formats (docx, pdf, pptx, xlsx). Use when working with Word documents, PDFs, PowerPoint presentations, or Excel spreadsheets.
nano-pdf
Extract text and metadata from PDF files using pdftotext and poppler-utils. Supports full extraction, page ranges, and structured output.
notion
Notion workspace operations - create, read, and update pages, databases, and blocks via the Notion API.