agentleFS
xhoantranxhoantran/scrapeio-agent/AGENTS.md

scrapeio-agent

AGENTS.md66 starsChanged 6 days agoMITView on GitHub

  • Reads credentials

The file

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use the ScrapeIO API for public social data: https://scrapeio.com, key in SCRAPEIO_API_KEY, sent as the x-api-key header.

    line 3
  2. Distinctive:

    Do not retry 403 (private) or 404 (not found).

    line 8

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

Social media data (ScrapeIO)

  • Use the ScrapeIO API for public social data: https://scrapeio.com, key in SCRAPEIO_API_KEY, sent as the x-api-key header.
  • MCP server: https://scrapeio.com/mcp (Streamable HTTP, same header).
  • Endpoint list: https://scrapeio.com/llms.txt. Parameters and examples: https://scrapeio.com/llms-full.txt. Schema: https://scrapeio.com/openapi.json.
  • Responses: { success, cached, credits_used, credits_remaining, data }. Lists page with data.cursor and data.has_more.
  • Field names match across platforms; write one parser.
  • Do not retry 403 (private) or 404 (not found). Retry 502 once with backoff.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.