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SKILL verified MIT Self-run

Correction Intent Tagger

skill-parad0x-labs-openclaw-skills-correction-intent · by Parad0x-Labs

Detects when a user message corrects a prior one, builds an active state where corrections override originals, and injects only the live instruction set into agent context. Prevents model drift when users change their minds mid-session.

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Install

$ agentstack add skill-parad0x-labs-openclaw-skills-correction-intent

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

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About

Correction vs Instruction Tagger

Detects when a message corrects a prior one and builds an active state where corrections override originals.

The problem nobody benchmarks: "use Redis" at msg 20, "actually use Postgres" at msg 47. Standard compression keeps both. This tagger supersedes Redis, surfaces only Postgres in activeInstructions.

Usage

from correction_intent import tag_messages, build_active_state, inject_active_state

tagged = tag_messages(messages)
state = build_active_state(tagged)
system_injection = inject_active_state(state)
# inject into system prompt — agent sees CURRENT STATE, not history

What it detects

  • CORRECTION: "actually", "scratch that", "instead", "I meant", implicit topic override
  • INSTRUCTION: new directive
  • ADDITIVE: "also", "additionally" — extends without overriding
  • QUERY: question, not actionable
  • ACK: "ok", "got it", "understood"

Correction chain receipt

from correction_intent import correction_chain_receipt
receipt = correction_chain_receipt(state, session_id)
# receipt["chain_root"] anchors to Solana via receipt_anchor

Part of the Parad0x Labs stack: github.com/Parad0x-Labs/openclaw-skills/tree/main/plugins/correction-intent

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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