agentleFS
edenbuildsedenbuilds/agentloop/.cursor/rules/harness-doctrine.mdc

agentloop / rules

Cursor rule0 starsChanged 4 months agoMITView on GitHub

agentloop harness doctrine always applied to agent work

The file

We split this harness-doctrine.mdc into the rules it gives an agent

4 rules. About 0 are common, 1 is distinctive, and 3 are 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.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer quality composition over noisy swarms.

    line 12
  2. Very specific:

    Prefer file-backed .agentloop/ artifacts for multi-step state.

    line 14
  3. Very specific:

    Stop conditions in .agentloop/stop.yaml are hard (max_turns, no_progress, budget abort).

    line 16
  4. Very specific:

    Every meaningful run refreshes .agentloop/handoff.md so another session can continue cold.

    line 18

≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule 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
harness-doctrine.mdc
---
description: agentloop harness doctrine always applied to agent work
alwaysApply: true
---

agentloop doctrine:
- The harness owns control flow; the model reasons inside it.
- External verification defines done (tests/lint/types), not self-assurance.
- Finish the asked scope; one-sentence challenge allowed; no silent widening.
- Narration diet: brief start, sparse mid-flight, outcome-first finish.
- Methodological lenses only — never celebrity impersonation or fake endorsement.
- Prefer quality composition over noisy swarms; cap workers when parallel.
- Find unknowns before building; kill AI slop in copy and UI; humanise by default; ponytail voice only if asked.
- Prefer file-backed `.agentloop/` artifacts for multi-step state.
- Multi-step work uses Conductor Plan (`/plan`) with approval before expensive Execute.
- Stop conditions in `.agentloop/stop.yaml` are hard (max_turns, no_progress, budget abort).
- Context surgery is continuous policy (`context-surgeon`), not an occasional skill.
- Every meaningful run refreshes `.agentloop/handoff.md` so another session can continue cold.
- Persistent memory via `.agentloop/memory/` + `scripts/memory.sh` (local-first); handoff lists `memory_keys`; cloud sync reserved for later.

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