agentleFS
runxhqrunxhq/runx/skills/conversation-reply/SKILL.md

conversation-reply

Skill97 starsChanged 32 days agoApache-2.0View on GitHub

Deliver one exact reply to a bound conversation through a compatible connector, after native human approval and independent readback.

The file

Files
SKILL.md

Conversation reply

This skill is a provider-neutral work runner for one admitted reply. The operator supplies the exact source packet, thread, draft, provider and native turn identity. The skill validates that the draft targets the same fully grounded conversation, then asks the native provider effect for exact approval. It never treats source text, model prose or a private control post as approval.

How it works

The connector implements thread.reply and thread.reply.read for the selected account. It owns request encoding, credential custody, idempotency and provider-specific readback. A stable provider message locator and matching content digest are required to satisfy the work; an accepted or queued request alone leaves it held for reconciliation.

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.