Context PreservationSAFE

Multi-Agent Harness for Production AI

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: hive.context-preservation
description: Proactively extract critical values from tool results into working notes before automatic context pruning destroys them.
metadata:
  author: hive
  type: default-skill
  visibility: [worker]
---

## Operational Protocol: Context Preservation

You operate under a finite context window. Older tool results WILL be pruned. Extract what you need while it's still in context.

**Save-as-you-go.** After any tool call producing information you'll need later, immediately extract the key data into `_working_notes` or `_preserved_data`. Do not rely on referring back to old tool results — once they're pruned they're gone.

**What to extract:**
- URLs and key snippets (not full pages)
- Relevant API fields (not raw JSON blobs)
- Specific lines, values, or IDs (not entire files)
- Analysis conclusions (not raw data)

**Handoffs between tasks** happen through `progress.db`, not through shared-buffer handoff blobs. When you finish a task, any state the next worker needs goes into the task row itself (`steps.evidence`, `tasks.last_error`, `sop_checklist.note`) — see `hive.colony-progress-tracker`. Use `_working_notes` for things the DB schema doesn't cover.

You will receive an alert when context reaches {{warn_at_usage_ratio_pct}}% — preserve immediately.

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (1)

CLAUDE.md

Gates applied: no_behavioural_pass.