What makes Narrative Drift Monitor notable?

1K downloads. Trust evidence available

How should Narrative Drift Monitor be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Narrative Drift Monitor

Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; p... Skill: Narrative Drift Monitor Owner: aaron-he-zhu Summary: Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; p... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:51:45.699Z | auto Version 19.0.0 of narrative-drift-monitor - Updated SKILL.md to reflect version 19.0.0, including refreshed metadata. -

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:narrative-drift-monitor

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-narrative-drift-monitor/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

85,454 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: narrative-drift-monitor
slug: aaron-narrative-drift-monitor
displayName: "Narrative Drift Monitor · 叙事漂移监测"
summary: "自漂移监测/竞品重定位告警/重定位触发条件/D1-W1-M1 复盘"
description: 'Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use when watching a live narrative for drift over time: detecting flagship surfaces that have drifted from the narrative-registry canon (wayback change history), catching competitor repositioning, defining the explicit conditions that should trigger a repositioning, or running the D1/W1/M1 message-shift retro. The last move of the TALE Evaluate phase — it decides between a re-audit and a repositioning, and it is the fact base for the narrative-whiplash guardrail. Not the first-time consistency check and not the TALE profile result computation."
argument-hint: "<brand / surfaces to watch> [competitor set] [canon path] [window: D1|W1|M1]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "narrative", "phase": "evaluate", "geo-relevance": "low", "hermes": {"tags": ["marketing", "narrative", "evaluate"], "category": "narrative"}, "openclaw": {"emoji": "📖", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Narrative Drift Monitor

Watches a live narrative for drift after it has landed — the surfaces that have quietly drifted away from the [narrative-registry](../../../protocol/narrative-registry/SKILL.md) canon over time, the competitors that have repositioned, the explicit conditions that should (and should not) trigger a repositioning of your own message, and a D1/W1/M1 message-shift retro of intended-vs-actual pull-through. It is the last move of the TALE **Evaluate** phase and feeds two [TALE](../../../references/tale-benchmark.md)-`L` items — *a message-consistency pass is run before any flagship surface ships a major change* and the cross-surface *matches-the-canon* check over time — plus it is the recorded **fact base for the narrative-whiplash guardrail under A** (re-cutting

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "narrative-drift-monitor",
  "version": "19.0.0",
  "publishedAt": 1784904705699
}

skill-card.md

## Description:

Monitors live brand surfaces against a narrative canon over time, flags competitor repositioning, defines repositioning triggers, and produces D1/W1/M1 drift retros with evidence labels.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing, narrative, and product teams use this skill to monitor shipped messaging against a canonical narrative, review competitor repositioning, and decide whether drift calls for re-audit or repositioning.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The security summary says the manifest understates that the skill may use network-backed surface history and write scoped project memory.

Mitigation: Review before installing, run only in workspaces where those reads and writes are acceptable, and confirm save or proposal actions before they are made.

Risk: The skill processes pasted surfaces, competitor pages, snapshots, and exports that may contain untrusted content.

Mitigation: Treat those inputs as evidence only, do not follow embedded instructions, and keep output evidence-labeled.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/narrative-drift-monitor)
- [Skill homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

**Output Type(s):** [text, markdown, configuration, guidance]

**Output Format:** [Markdown drift report with evidence-labeled tables, trigger conditions, and handoff summary]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Report lines distinguish Measured, User-provided, Estimated, and proxy evidence.]

## Skill Version(s):

19.0.0 (source: server release and skill frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

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    "inline-delivery",
    "canonical-state-read"
  ],
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    }
  ],
  "files_sha256": "dfa68be5791f03a98453b8e49ee4dd0acd430638940cac10b952d4b2a43d5787",
  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
    "distribution-manifest.json"
  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
    "max_bytes": 1000000,
    "max_files": 64
  },
  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

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