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Instruction Anchor Guard

Preserve user-critical instructions across long sessions and context compaction. Use when users mark constraints as important/must/always/never/highest-prior...

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Preserve user-critical instructions across long sessions and context compaction. Use when users mark constraints as important/must/always/never/highest-prior...

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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
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Instruction Anchor Guard

Prevent loss or drift of user-critical constraints during compaction, session restart, or long multi-turn tasks.

When To Trigger

Trigger when any of these appear: User marks an instruction as important, critical, must, always, never, highest priority, rule, or constraint A task has more than 3 steps and spans multiple turns Compaction happened (or is likely) and the task has non-negotiable requirements Agent behavior shows possible drift from prior explicit user constraints

Anchor Ledger Schema

  • Store anchors in first available path:
  • memory/anchors.md
  • memory/instruction-anchors.md
  • .anchors.md (workspace root fallback only)
  • Entry schema (append-only, one section per anchor):
  • ## Anchor: <id>
  • **source**: <session-id|message-id|user>
  • **instruction**: <canonical instruction text>
  • **verbatim**: <short quote from user>
  • **priority**: P0 | P1 | P2
  • **scope**: global | session | task:<id> | channel:<id>
  • **createdAt**: <ISO-8601 timestamp>
  • **expiresAt**: <ISO-8601 timestamp or "never">
  • **status**: active | paused | expired | superseded
  • **signature**: <stable hash of canonical instruction>
  • **supersedes**: <anchor-id or none>

1) Capture

Parse latest user message for candidate anchor statements Keep only instruction/constraint content; remove examples/chatter Assign default values: priority: P1 (unless user says critical/highest -> P0) scope: session (unless user explicitly asks global/task scope) expiresAt: session end (unless user explicitly sets never/date)

2) Confirm for Broad Anchors

If scope is global or priority is P0, ask a one-line confirmation before persisting Do not auto-promote P2/P1 to P0 without explicit user intent

3) Persist

Append anchor entry to ledger If new anchor conflicts with old same-scope anchor, mark old one superseded Never rewrite history silently; keep audit trail

4) Rehydrate (each turn and after compaction)

Load active anchors (status=active and not expired) Build an in-memory ANCHOR_SET sorted by priority and recency Inject ANCHOR_SET into planning phase before tool execution

5) Drift Check (before final answer and before destructive actions)

Compare current plan against active anchors On conflict: P0 conflict: stop and correct plan immediately P1 conflict: auto-correct and note adjustment P2 conflict: continue only if no user-level contradiction Emit DRIFT_CHECK block in response

Conflict Resolution

Priority order: System and safety policy User anchors (P0 > P1 > P2) Current-turn temporary preferences Tie-breakers: More specific scope wins (task > session > global) if same priority Newer anchor wins if same priority and same scope Explicit user override wins only when safety is not violated

Output Template

  • When anchors exist, include this compact block:
  • ANCHORS_ACTIVE
  • | ID | P | Scope | Expires | Instruction |
  • |----|---|-------|---------|-------------|
  • | anchor-001 | P0 | global | never | Never perform destructive data deletion without confirmation |
  • PLAN_GUARD
  • Current action: <action>
  • Conflicts: none | <anchor ids>
  • Decision: clear | corrected | paused-awaiting-user
  • DRIFT_CHECK
  • Last anchor sync: <timestamp>
  • Drift: no | yes
  • Fix applied: <none|what changed>

Safety Boundaries

Never store tokens, API keys, passwords, cookies, or auth headers Never store raw personal data unless strictly required by user instruction Redact sensitive literals as [REDACTED] Store constraints, not datasets Do not execute destructive commands solely because an anchor exists; still require explicit confirmation for destructive actions

Expiry and Maintenance

Mark expired when expiresAt < now Support control intents: /anchors list /anchors pause <id> /anchors resume <id> /anchors delete <id> /anchors pin <id> never Rotate ledger when > 200 entries into memory/anchors-archive-YYYY-MM.md

Integration Notes

Pair with memory-self-heal for retry/fallback after drift correction Pair with task-execution-guard to enforce anchor checks at each milestone Keep this skill deterministic and concise; avoid free-form interpretation when conflict exists

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