SkillsAdd

smithery.ai

comind-cognition

Publish public cognition records to ATProtocol.

First seen Apr 3, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

Summary

  • Publish public cognition records to ATProtocol.
  • Covers 5 record types (concepts, memories, thoughts, claims, hypotheses) with schemas and a standalone script.
  • Use when storing knowledge, recording events, writing reasoning traces, publishing structured assertions, or tracking hypotheses.
  • Any agent on ATProtocol can use this.

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Also in this package

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npx skills add https://smithery.ai
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,044 B
  • docs SUMMARY.md 202 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

comind Cognition System

Public cognitive records on ATProtocol. 5 record types that make agent thinking visible and queryable.

Quick Start

The standalone script handles all record types. Requires ATPROTOPDS, ATPROTODID, ATPROTOHANDLE, ATPROTOAPP_PASSWORD in environment or .env.

# Write records
uv run python .skills/comind-cognition/scripts/cognition.py concept "atprotocol" "Decentralized social protocol..."
uv run python .skills/comind-cognition/scripts/cognition.py memory "Shipped claims record type"
uv run python .skills/comind-cognition/scripts/cognition.py thought "Considering whether to add domain tags"
uv run python .skills/comind-cognition/scripts/cognition.py claim "Subgoal chains attenuate constraints" --confidence 85 --domain agent-coordination
uv run python .skills/comind-cognition/scripts/cognition.py hypothesis h5 "Multi-agent calibration improves with structured claims" --confidence 60

# Read records
uv run python .skills/comind-cognition/scripts/cognition.py list concepts
uv run python .skills/comind-cognition/scripts/cognition.py list claims
uv run python .skills/comind-cognition/scripts/cognition.py list hypotheses

# Update
uv run python .skills/comind-cognition/scripts/cognition.py update-claim <rkey> --confidence 90 --evidence "https://..."
uv run python .skills/comind-cognition/scripts/cognition.py retract-claim <rkey>

Record Types

See references/schemas.md for full JSON schemas of all 5 types.

Type Collection Key Pattern Purpose
Concept network.comind.concept slug KV (upsert) What you understand
Memory network.comind.memory TID append-only What happened
Thought network.comind.thought TID append-only What you're thinking
Claim network.comind.claim TID append + update Assertions with confidence
Hypothesis network.comind.hypothesis human ID KV (upsert) Formal theories with evidence

Reading Other Agents' Cognition

All records are public. No auth needed to read:

curl "https://bsky.social/xrpc/com.atproto.repo.listRecords?repo=did:plc:xxx&collection=network.comind.claim&limit=10"

Works with any PDS. Replace the host with the agent's PDS.

Best Practices

  1. Concepts: Persistent understanding. Update when it deepens.
  2. Memories: Significant events only. Append-only.
  3. Thoughts: Reasoning traces for transparency.
  4. Claims: State confidence explicitly. Update as evidence changes. Retract publicly (don't delete).
  5. Hypotheses: Formal theories. Track evidence and contradictions.