Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Productivity
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...
skill openclawclawhub Free
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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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/cron-noise-checklist.md, references/out-of-band-delivery.md, scripts/context_cleanup_audit.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.7
Provenance
- Publisher
- phenomenoner
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: exact change, expected impact, rollback plan, 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 β 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 βit feels leanerβ. 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 βOKβ 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
Phase 1 β Noise discipline
Make no-op automation truly silent (NO_REPLY or nothing on success). Keep alerts out-of-band when possible.
Phase 2 β Bootstrap slimming
Keep always-injected files short. Move long guidance to references/, memory/, or external notes.
Phase 3 β Ambient surface reduction
Remove low-frequency specialist skills from always-on prompt surface. Prefer worker/subagent invocation for specialist flows.
Phase 4 β Higher-risk changes
Tool-surface or deeper runtime/config narrowing. Only propose with stronger rollback and explicit approval.
Step 0 β Determine scope
You need: workspace dir state dir (<OPENCLAW_STATE_DIR>) Common defaults: macOS/Linux: ~/.openclaw Windows: %USERPROFILE%\.openclaw
Step 1 β 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 β transcript bloat many cron/system lines β automation bloat large bootstrap docs β reinjection bloat
Step 2 β Produce a fix plan
Include: top offenders lowest-risk fixes first expected impact rollback notes verification plan
Step 3 β 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
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- references/cron-noise-checklist.md
- references/out-of-band-delivery.md
- scripts/context_cleanup_audit.py