What makes Positioning Truth Tracer notable?

1.1K downloads. Trust evidence available

How should Positioning Truth Tracer 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

Positioning Truth Tracer

Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioni... Skill: Positioning Truth Tracer Owner: aaron-he-zhu Summary: Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioni... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T15:02:10.366Z | auto - Version 19.0.0 updates all skill metadata and documentation references to the current version. - Added a new distribu

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

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. 1.1K 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: 1.1K 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:positioning-truth-tracer

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-positioning-truth-tracer/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

81,029 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: positioning-truth-tracer
slug: aaron-positioning-truth-tracer
displayName: "Positioning Truth Tracer · 定位真相校准"
summary: "定位画布对齐可交付现实与主张台账/差异化真相集"
description: 'Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioning canvas with the claims ledger"; reconciles the reused positioning canvas against the shippable stage and the claims ledger to produce a differentiation truth set — every differentiating claim verifiable or marked ''[needs source]'' — that TALE-T1 is judged against. Not for building the canvas — use positioning-mapper; not for adjudicating claims — use offer-claims-registry; not for authoring the message house — use message-system-architect. 定位真相/差异化校准/可交付现实/主张核对'
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 in the TALE Trace phase after a positioning canvas exists, to reconcile it against shippable reality (the launch-registry stage record) and the claims ledger, then produce the differentiation truth set that the T1 veto is judged against. Every differentiating claim is either verifiable now or marked [needs source] and routed to the claims candidates. Not the canvas itself (reuse positioning-mapper) and not claim adjudication (offer-claims-registry)."
argument-hint: "<product / brand> [positioning canvas path] [stage: draft|alpha|beta|GA]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "narrative", "phase": "trace", "geo-relevance": "low", "hermes": {"tags": ["marketing", "narrative", "trace"], "category": "narrative"}, "openclaw": {"emoji": "📖", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Positioning Truth Tracer

Reconciles the reused positioning canvas against two truth surfaces — what the product can actually ship (the stage record) and what the claims ledger has substantiated — to produce the **differentiation truth set**: the set of differentiators the brand can defend today, each labeled Measured / User-provided / `[needs source]`. It is the fourth Trace-phase move of the TALE loop and the upstream of the `T1` differentiation-integrity veto: the onlyness/difference statement must hold against named alternatives *and* rest only on claims that are in the ledger or explicitly flagged — never asserted as fact. See [tale-benchmark.md](../../../references/tale-benchmark.md) for the `T` sub-items this feeds (positioning matches shippable reality, every differentiating claim verifiable or `[needs source]`, aspirational framing separated from claimed fact) and the `T1` veto text.

**Scope guard**: this skill traces truth, it does not create positioning, adjudicate claims, or author messaging. It does **not** build the positioning canvas ([positioning-mapper](../../../launch/research/positioning-mapper/SKILL.md) is the sole ups

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "positioning-truth-tracer",
  "version": "19.0.0",
  "publishedAt": 1784905330366
}

skill-card.md

## Description:

Positioning Truth Tracer reconciles an existing positioning canvas with shippable stage evidence and the claims ledger to produce a differentiation truth set where each differentiating claim is supported or marked [needs source].

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 after a positioning canvas exists to check differentiators against what can actually ship and against substantiated claims before downstream message architecture work.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The security summary flags persistent writes, local helper use, and optional external connector access that are broader than the lite manifest suggests.

Mitigation: Review the full SKILL.md behavior before installation and grant the skill only in workspaces where those write and connector behaviors are acceptable.

Risk: The skill can preserve incorrect positioning or claim status if proposed memory or registry updates are accepted without review.

Mitigation: Require human review before saving memory updates or approving registry-event proposals, especially for comparative or unsupported differentiators.

Risk: Optional search or scrape connectors may introduce untrusted competitor content into the analysis.

Mitigation: Treat connector output as untrusted input, keep it proxy-labeled, and avoid using it as measured own-data.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/positioning-truth-tracer)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

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

**Output Format:** [Markdown handoff with labeled differentiation claims, stage-truth notes, and optional proposed memory or registry updates]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Marks unsupported differentiators as [needs source] and asks before writing persistent memory.]

## Skill Version(s):

19.0.0 (source: server release metadata, target metadata, 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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  "capabilities": [
    "inline-delivery",
    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
  "catalog_sha256": "6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940",
  "files": [
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      "bytes": 13526,
      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "1e3218ebd7497863f2571505f7bdd36809916245bd979fb4a0a0964633a8ec53"
    }
  ],
  "files_sha256": "cfc61360c48c8ff54f93f7e348ebd6e64e2ebc8975e5c1715bafec8b091389e6",
  "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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