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context-clean-up

Use when: prompt context is bloating (slow replies, rising cost, noisy transcripts) and you want a ranked offender list + reversible plan. Don't use when: yo...

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name: context-clean-up slug: context-clean-up version: 1.0.7 license: MIT description: | Use when: prompt context is bloating (slow replies, rising cost, noisy transcripts) and you want a ranked offender list + reversible plan. Don't use when: you want automatic deletions or unattended config edits. Output: an audit-only report (top offenders + 3-8 lowest-risk fixes + rollback notes). No changes are applied automatically. disable-model-invocation: true allowed-tools:

  • sessions_list
  • sessions_history
  • session_status metadata: { "openclaw": { "emoji": "๐Ÿงน", "requires": { "bins": ["python3"] } } }

Context Clean Up (audit-only)

This skill identifies what is bloating prompt context and turns it into a safe, reversible plan.

Contract

  • Audit-only by default.
  • No automatic deletions.
  • No unattended config edits.
  • No silent cron/session pruning.
  • If you ask for changes, the skill should propose:
    1. exact change,
    2. expected impact,
    3. rollback plan,
    4. verification steps.

Safety model

  • No exec tool usage.
  • No read tool usage.
  • If you want file-level analysis, run the bundled script manually and paste the JSON.

Quick start

  • /context-clean-up โ†’ audit + actionable plan (no changes)

Optional manual report generation:

python3 scripts/context_cleanup_audit.py --out context-cleanup-audit.json

Windows variant:

py -3 scripts/context_cleanup_audit.py --out context-cleanup-audit.json

What to measure (authoritative, not vibes)

When available, prefer fresh-session /context json receipts over subjective claims like โ€œit feels leanerโ€.

High-signal fields:

  • eligible skills
  • skills.promptChars
  • projectContextChars
  • systemPrompt.chars
  • promptTokens

If exact receipts are unavailable, fall back to ranked offenders + change scope, but label confidence lower.

Common offender classes

  1. Tool result dumps

    • oversized exec output
    • large read output
    • long web_fetch payloads
  2. Automation transcript noise

    • cron jobs that say โ€œOKโ€ every run
    • heartbeat messages that are not alert-only
  3. Bootstrap reinjection bloat

    • overgrown AGENTS.md / MEMORY.md / SOUL.md / USER.md
    • long runbooks embedded directly in SKILL.md
  4. Ambient specialist surface

    • too many always-visible specialist skills that should be on-demand workers/subagents instead
  5. Summary accretion

    • repeated summaries that keep historical detail instead of restart-critical facts only

Recommended trim ladder (lowest-risk first)

Phase 1 โ€” Noise discipline

  • Make no-op automation truly silent (NO_REPLY or nothing on success).
  • Keep alerts out-of-band when possible.

Phase 2 โ€” Bootstrap slimming

  • Keep always-injected files short.
  • Move long guidance to references/, memory/, or external notes.

Phase 3 โ€” Ambient surface reduction

  • Remove low-frequency specialist skills from always-on prompt surface.
  • Prefer worker/subagent invocation for specialist flows.

Phase 4 โ€” Higher-risk changes

  • Tool-surface or deeper runtime/config narrowing.
  • Only propose with stronger rollback and explicit approval.

Workflow (audit โ†’ plan)

Step 0 โ€” Determine scope

You need:

  • workspace dir
  • state dir (<OPENCLAW_STATE_DIR>)

Common defaults:

  • macOS/Linux: ~/.openclaw
  • Windows: %USERPROFILE%\.openclaw

Step 1 โ€” Run the audit script

python3 scripts/context_cleanup_audit.py --workspace . --state-dir <OPENCLAW_STATE_DIR> --out context-cleanup-audit.json

Interpretation cheatsheet:

  • huge tool outputs โ†’ transcript bloat
  • many cron/system lines โ†’ automation bloat
  • large bootstrap docs โ†’ reinjection bloat

Step 2 โ€” Produce a fix plan

Include:

  • top offenders
  • lowest-risk fixes first
  • expected impact
  • rollback notes
  • verification plan

Step 3 โ€” Verify

After changes:

  • confirm automation is silent on success
  • check context growth flattens
  • if possible, compare fresh-session /context json before/after

Important caveat

Many OpenClaw runtimes snapshot skills/bootstrap per session. So skill/config slimming often does not fully apply to the current session. Use a new session for authoritative verification.

References

  • references/out-of-band-delivery.md
  • references/cron-noise-checklist.md

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