{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "jingxuanc-causal-memory--check-intervention-before-acting",
 "repo": "JingxuanC/causal-memory",
 "repo_url": "https://github.com/JingxuanC/causal-memory",
 "repo_slug": "jingxuanc-causal-memory",
 "title": "Ask what would happen before the agent acts",
 "page_title": "How to ask what would happen before the agent acts with Causal Memory",
 "summary": "Have your agent ask its memory what happened last time before it runs a risky command, and stop on a danger chain.",
 "who": "A platform engineer whose agent once broke a production login with a deploy and should never repeat it.",
 "problem": "Agents forget past incidents after context compaction and confidently repeat the same risky action.",
 "outcome": "Before a risky step the agent calls intervention_query and gets a DANGER chain that cites the recorded lesson, so you can stop or change the plan.",
 "steps": [
  "Install with `./install.sh --yes` so the server and the bundled agent skill are both in place (the skill tells the agent when to call the tools)",
  "When an action goes wrong, have the agent record the action and its outcome as a cause and effect pair in memory",
  "Add a rule to your agent instructions: call intervention_query before deploys, migrations or deletes",
  "Run the risky task again and read any DANGER chain the agent shows before it proceeds",
  "Optionally preview memory cleanup with `causal-memory sleep --dry-run`"
 ],
 "agent_prompt": "Before you run <risky command> on <system>, call causal-memory's intervention_query with the planned action. If it returns a DANGER chain, stop and show me the cited past outcome; otherwise proceed and record the result.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "It only warns about outcomes that were recorded earlier, so a brand new store has nothing to warn with until you log a few real incidents.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "rust",
 "requirements": [
  "Rust toolchain, or pip for the prebuilt package",
  "An MCP client such as Claude Code"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/jingxuanc-causal-memory/check-intervention-before-acting/",
 "md": "https://dedupedai.com/use-cases/jingxuanc-causal-memory/check-intervention-before-acting/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/jingxuanc-causal-memory--check-intervention-before-acting.json",
 "api_version": "v1"
}