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: 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.

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Repository: javimosch/open-claw-skills
Letzte Quellaktivität: 6. Juni 2026 um 19:20
Erkannte Sprache von SKILL.md: Englisch
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Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.

npx skills add https://github.com/javimosch/open-claw-skills --skill context-clean-up

Der Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.

Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md

Quellanweisungen · Schreibgeschützte Vorschau

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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 → 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 “it feels leaner”.

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

Tool result dumps
- oversized exec output
- large read output
- long web_fetch payloads
Automation transcript noise
- cron jobs that say “OK” every run
- heartbeat messages that are not alert-only
Bootstrap reinjection bloat
- overgrown AGENTS.md / MEMORY.md / SOUL.md / USER.md
- long runbooks embedded directly in SKILL.md
Ambient specialist surface
- too many always-visible specialist skills that should be on-demand workers/subagents instead
Summary accretion
- repeated summaries that keep historical detail instead of restart-critical facts only

Recommended trim ladder (lowest-risk first)

Phase 1 — Noise discipline

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

Phase 2 — Bootstrap slimming

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

Phase 3 — Ambient surface reduction

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

Phase 4 — Higher-risk changes

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

Workflow (audit → plan)

Step 0 — Determine scope

You need:

workspace dir
state dir (<OPENCLAW_STATE_DIR>)

Common defaults:

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

Step 1 — 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 → transcript bloat
many cron/system lines → automation bloat
large bootstrap docs → reinjection bloat

Step 2 — Produce a fix plan

Include:

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

Step 3 — 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

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":"🧹","requires":{"bins":"[Truncated]"}}}

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":"🧹","requires":{"bins":"[Truncated]"}}}