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Memory Self-Heal

General-purpose self-healing loop that learns from past failures, retries safely, and records reusable fixes.

skill openclawclawhub Free
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High Signal

General-purpose self-healing loop that learns from past failures, retries safely, and records reusable fixes.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

Memory Self-Heal Skill

Use this skill when the agent starts failing repeatedly, stalls, or keeps asking the user for steps that could be inferred from prior evidence.

Goals

Recover execution without user micromanagement Reuse previous fixes from memory/logs/tasks Escalate only with minimal unblock input when truly blocked Leave reusable evidence for future runs

When To Trigger

Trigger when any of these appear: Same or similar error occurs 2+ times in one task Tool call fails due to argument mismatch, missing config, auth wall, or context overflow Agent claims completion without verifiable artifact Task progress stalls (no new artifact across 2 cycles)

Inputs

Current task objective Latest error/output Available evidence locations (memory, tasks, logs)

Portable Evidence Scan Order

Scan these in order; skip missing paths silently: memory/ (or equivalent workspace memory path) tasks/ or queue files runtime logs / channel logs skill docs (skills/*/SKILL.md) for known fallback recipes core docs (TOOLS.md, CAPABILITIES.md, AGENTS.md) Shell examples (use whichever shell is active): # PowerShell Get-ChildItem -Recurse memory, tasks -ErrorAction SilentlyContinue | Select-String -Pattern "error|blocked|retry|fallback|auth|token|proxy|timeout|context" -Context 2 # POSIX shell rg -n "error|blocked|retry|fallback|auth|token|proxy|timeout|context" memory tasks 2>/dev/null

Failure Classification

Classify first, then act: syntax_or_args: command syntax/argument mismatch auth_or_config: key/token/env/config missing or invalid network_or_reachability: timeout, DNS, handshake, region restrictions ui_login_wall: page requires manual login/attach resource_limit: context window, rate limit, memory pressure false_done: no artifact/evidence but reported complete unknown: no confident class

Attempt 1: Direct Fix

Apply best-known fix from memory for same class/signature Re-run the smallest validating action Record result

Attempt 2: Safe Fallback

Switch to alternate tool/path with lower fragility Narrow scope (smaller input, shorter query, one target) Re-run validation

Attempt 3: Controlled Escalation

Mark blocked with minimum unblock input Provide exact next action user must do (one command or one UI step) Do not loop further until new input arrives

Safety Rules

Never auto-run destructive operations without confirmation Never log secrets/tokens in memory files Max 3 retries per blocker signature per task Prefer deterministic steps over broad speculative retries

Completion Contract

  • Do not claim done unless all are true:
  • At least one artifact exists and is readable (file/link/output)
  • The original task objective is explicitly mapped to artifact(s)
  • No unresolved blocker for current objective
  • Required output block:
  • DONE_CHECKLIST
  • Objective met: yes/no
  • Artifact: <path or URL or command output ref>
  • Validation: <what was checked>
  • Remaining blocker: <none or exact unblock input>

Memory Writeback Template

  • Append one concise entry after each self-heal cycle:
  • ## Self-heal: <date-time> <short task>
  • Signature: <normalized error signature>
  • Class: <classification>
  • Attempt1: <action> -> <result>
  • Attempt2: <action> -> <result>
  • Final: <success | blocked>
  • Artifact/Evidence: <path|url|log ref>
  • Reusable rule: <one-line rule>

Generic Known Fixes (Seed Set)

Command mismatch on Windows: prefer native PowerShell cmdlets Token mismatch/auth failure: verify active config source and token scope WebSocket/timeouts: test reachability + proxy/no_proxy consistency Context overflow: split task into smaller units and reduce payload False completion: enforce artifact validation before final response

Integration Notes

Works with autonomy/task-tracker skills but does not depend on them If a project has custom memory paths, adapt scan roots dynamically Keep entries short to avoid memory bloat

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc