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Detect and remove contradictions across agent policies before execution.
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Basé sur la classification professionnelle SOC
Rules and strategies for managing agent context window size, avoiding bloat, and preserving signal-to-noise ratio.
Standard patterns for error handling, retry logic, circuit breakers, and graceful degradation.
Multi-step tool workflows via code orchestration to reduce latency, context pollution, and token overhead.
Bind project-specific prompts to local schema and workflow artifacts while keeping the harness core generic and globally reusable.
Operational session protocol for task-scoped leases, reconciliation, checkpoints, inspection, queue promotion, and handoff across long-running work.
Operational session protocol for task-scoped leases, reconciliation, checkpoints, inspection, queue promotion, and handoff across long-running work.
| name | policy-coherence-audit |
| description | Detect and remove contradictions across agent policies before execution. |
Detect and remove contradictions across agent policies before execution.
AGENTS.MDharness_session(action: "begin") is the ONLY way to start/reconcile a task.When two policies conflict, resolve them in this order:
If two rules still conflict after this ordering, rewrite the policy so only one source of truth remains.
| Conflict | Fix |
|---|---|
| “Be autonomous” vs “ask after every completion” | make the ask happen at issue boundaries only, not mid-issue |
| “Keep versioning simple” vs “bump every internal contract major” | separate package version from schema/contract versions and document both |
| “Use HarnessOS only” vs ad-hoc SQLite/file mutation | route all canonical task state through the official Harness tools |
| “Use one question with five options” vs freeform open-ended prompts | keep option 4 as Freeform and move nuance into the option descriptions |