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 agentmods add skills/daniel-ddtech/commentscraper-cli/commentscrapernpx skills add daniel-ddtech/commentscraper-cli --skill commentscrapergit clone --depth 1 https://github.com/daniel-ddtech/commentscraper-cliWrote 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/daniel-ddtech/commentscraper-cli/commentscraper)<a href="https://agentmods.dev/skills/daniel-ddtech/commentscraper-cli/commentscraper"><img src="https://agentmods.dev/badge/skills/daniel-ddtech/commentscraper-cli/commentscraper.svg" alt="Measured on agentmods" 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 | $0.00095 | $0.01221 |
| Opus 5 | $0.00048 | $0.00611 |
| Sonnet 5 | $0.00019 | $0.00244 |
| Haiku 4.5 | $0.00010 | $0.00122 |
Grade A, and why
commentscraper 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CommentScraper
Use Adlicio through the commentscraper CLI or its MCP tools. Return
evidence-backed findings, not a raw data dump.
The CLI, the MCP server, and the Adlicio web app all need the All Access plan. The Pro plan covers the Chrome extension only. If a command fails on plan access, say so plainly and point the user at https://tryadlicio.com/app rather than retrying.
Workflow
- Define the research question and the audience, market, or product in scope.
- Choose the narrowest suitable operation:
- Use
researchorresearch_topicwhen starting from a topic. - Use
searchorsearch_redditto discover threads without scraping. - Use
scrapeorscrape_urlwhen the user provides a supported URL.
- Use
- Start with a small limit, inspect relevance, then expand only when needed.
- Preserve JSON output and source permalinks.
- Analyze the returned comments for repeated themes, intensity, disagreement, and audience-specific language.
- Report the sample size, source mix, limitations, and actionable findings.
CLI setup
Check whether the CLI is already available:
commentscraper --version
If it is missing, install it with Node.js 18 or newer:
npm install -g commentscraper
commentscraper login
Login is interactive. Never print, commit, or paste authentication tokens into the response.
CLI commands
Use --quiet whenever stdout is consumed by another process.
# Topic to relevant Reddit threads and comments
commentscraper research "<topic>" --limit 10 --format json --output research.json --quiet
# Reddit thread discovery only
commentscraper search "<topic>" --limit 20 --quiet
# One supported URL to structured comments or reviews
commentscraper scrape "<url>" --format json --output comments.json --quiet
# Authentication and current platform support
commentscraper whoami
commentscraper platforms
Use CSV or text only when the user explicitly needs those formats:
commentscraper scrape "<url>" --format csv --output comments.csv --quiet
commentscraper scrape "<url>" --format text --output comments.txt --quiet
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 First seen · 151 lines · 95 tokens per session scan A bcdeb51a0f86
commentscraper is a skill published in the GitHub repository daniel-ddtech/commentscraper-cli (0 stars, last pushed 2d ago), licensed MIT. It adds 95 tokens to every session and 1,221 once invoked, about $0.0005 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 2026-09-04.
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