Xpersona
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Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

usewhisper-autohook

usewhisper-autohook (OpenClaw Skill) --- name: usewhisper-autohook version: 1.0.0 description: Auto-hook tools for OpenClaw: query Whisper Context before every generation, ingest after every turn. Built for Telegram agents (stable user_id/session_id). author: "usewhisper" metadata: openclaw: requires: bins: ["node"] env: ["WHISPER_CONTEXT_API_KEY", "WHISPER_CONTEXT_PROJECT"] optional_env: ["WHISPER_CONTEXT_API_URL"] security: notes: - Makes outbound HTT

OpenClaw · self-declared
Trust evidence available
View on ClawHub
clawhub skill install skills:alinxus:usewhisper-autohook

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

usewhisper-autohook is best for set, store, overriding workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

usewhisper-autohook (OpenClaw Skill) --- name: usewhisper-autohook version: 1.0.0 description: Auto-hook tools for OpenClaw: query Whisper Context before every generation, ingest after every turn. Built for Telegram agents (stable user_id/session_id). author: "usewhisper" metadata: openclaw: requires: bins: ["node"] env: ["WHISPER_CONTEXT_API_KEY", "WHISPER_CONTEXT_PROJECT"] optional_env: ["WHISPER_CONTEXT_API_URL"] security: notes: - Makes outbound HTT Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:alinxus:usewhisper-autohook
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

npx clawhub@latest install usewhisper-autohook

bash

WHISPER_CONTEXT_API_URL=https://context.usewhisper.dev
WHISPER_CONTEXT_API_KEY=YOUR_KEY
WHISPER_CONTEXT_PROJECT=openclaw-yourname

text

Before you think or respond to any message:
1) Call get_whisper_context with:
   user_id = "telegram:{from_id}"
   session_id = "telegram:{chat_id}"
   current_query = the user's message text
2) If the returned context is not empty, prepend it to your prompt as:
   "Relevant long-term memory:\n{context}\n\nNow respond to:\n{user_message}"

After you generate your final response:
1) Call ingest_whisper_turn with the same user_id and session_id and:
   user_msg = the full user message
   assistant_msg = your full final reply

Always do this. Never skip.

bash

export OPENAI_API_KEY="YOUR_UPSTREAM_KEY"
node usewhisper-autohook.mjs serve_openai_proxy --port 8787

bash

export ANTHROPIC_API_KEY="YOUR_ANTHROPIC_KEY"
node usewhisper-autohook.mjs serve_anthropic_proxy --port 8788

bash

node usewhisper-autohook.mjs get_whisper_context \
  --current_query "What did we decide last time?" \
  --user_id "telegram:123" \
  --session_id "telegram:456"

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

usewhisper-autohook (OpenClaw Skill) --- name: usewhisper-autohook version: 1.0.0 description: Auto-hook tools for OpenClaw: query Whisper Context before every generation, ingest after every turn. Built for Telegram agents (stable user_id/session_id). author: "usewhisper" metadata: openclaw: requires: bins: ["node"] env: ["WHISPER_CONTEXT_API_KEY", "WHISPER_CONTEXT_PROJECT"] optional_env: ["WHISPER_CONTEXT_API_URL"] security: notes: - Makes outbound HTT

Full README

name: usewhisper-autohook version: 1.0.0 description: Auto-hook tools for OpenClaw: query Whisper Context before every generation, ingest after every turn. Built for Telegram agents (stable user_id/session_id). author: "usewhisper" metadata: openclaw: requires: bins: ["node"] env: ["WHISPER_CONTEXT_API_KEY", "WHISPER_CONTEXT_PROJECT"] optional_env: ["WHISPER_CONTEXT_API_URL"] security: notes: - Makes outbound HTTPS requests to the Whisper Context API using a user-provided API key. - Does not require additional npm dependencies. - Review the script before use.

usewhisper-autohook (OpenClaw Skill)

This skill is a thin wrapper designed to make "automatic memory" easy:

  • get_whisper_context(user_id, session_id, current_query) for pre-response context injection
  • ingest_whisper_turn(user_id, session_id, user_msg, assistant_msg) for post-response ingestion

It defaults to the token-saving settings you almost always want:

  • compress: true
  • compression_strategy: "delta"
  • use_cache: true
  • include_memories: true

It also persists the last context_hash locally (per api_url + project + user_id + session_id) so delta compression works by default without you needing to pass previous_context_hash.

Install (ClawHub)

npx clawhub@latest install usewhisper-autohook

Setup

Set env vars wherever OpenClaw runs your agent:

WHISPER_CONTEXT_API_URL=https://context.usewhisper.dev
WHISPER_CONTEXT_API_KEY=YOUR_KEY
WHISPER_CONTEXT_PROJECT=openclaw-yourname

Notes:

  • WHISPER_CONTEXT_API_URL is optional (defaults to https://context.usewhisper.dev).
  • The helper will auto-create the project on first use if it does not exist yet.

The "Auto Loop" Prompt (Copy/Paste)

Add this to your agent's system instruction (or equivalent):

Before you think or respond to any message:
1) Call get_whisper_context with:
   user_id = "telegram:{from_id}"
   session_id = "telegram:{chat_id}"
   current_query = the user's message text
2) If the returned context is not empty, prepend it to your prompt as:
   "Relevant long-term memory:\n{context}\n\nNow respond to:\n{user_message}"

After you generate your final response:
1) Call ingest_whisper_turn with the same user_id and session_id and:
   user_msg = the full user message
   assistant_msg = your full final reply

Always do this. Never skip.

If you are not on Telegram, keep the same structure: the important part is that user_id and session_id are stable.

If Your Agent Still Replays Full Chat History (Proxy Mode)

If you cannot control how your agent/framework constructs prompts (it always sends the full conversation history), a system prompt cannot reduce token spend: the tokens are already sent to the model.

In that case, run the built-in OpenAI-compatible proxy so the network payload is actually reduced. The proxy:

  • receives POST /v1/chat/completions
  • queries Whisper memory
  • strips chat history down to system + last user message
  • injects Relevant long-term memory: ...
  • calls your upstream OpenAI-compatible provider
  • ingests the turn back into Whisper

Start the proxy:

export OPENAI_API_KEY="YOUR_UPSTREAM_KEY"
node usewhisper-autohook.mjs serve_openai_proxy --port 8787

Then point your agent’s OpenAI base URL to http://127.0.0.1:8787 (exact env/config depends on your agent).

If your agent supports overriding the upstream base URL, you can set:

  • OPENAI_BASE_URL (for OpenAI-compatible upstreams)
  • ANTHROPIC_BASE_URL (for Anthropic upstreams)

Or pass --upstream_base_url when starting the proxy.

For correct per-user/session memory, pass headers on each request:

  • x-whisper-user-id: telegram:{from_id}
  • x-whisper-session-id: telegram:{chat_id}

Anthropic Native Proxy (/v1/messages)

If your agent uses Anthropic's native API (not OpenAI-compatible), run the Anthropic proxy instead:

export ANTHROPIC_API_KEY="YOUR_ANTHROPIC_KEY"
node usewhisper-autohook.mjs serve_anthropic_proxy --port 8788

Then point your agent’s Anthropic base URL to http://127.0.0.1:8788.

Pass IDs via headers (recommended):

  • x-whisper-user-id: telegram:{from_id}
  • x-whisper-session-id: telegram:{chat_id}

If you do not pass headers, the proxies will attempt to infer stable IDs from OpenClaw's system prompt / session key if present. This is best-effort; headers are still the most reliable.

CLI Usage (what the tools call)

All commands print JSON to stdout.

Get packed context

node usewhisper-autohook.mjs get_whisper_context \
  --current_query "What did we decide last time?" \
  --user_id "telegram:123" \
  --session_id "telegram:456"

Ingest a completed turn

node usewhisper-autohook.mjs ingest_whisper_turn \
  --user_id "telegram:123" \
  --session_id "telegram:456" \
  --user_msg "..." \
  --assistant_msg "..."

For large content, pass JSON via stdin:

echo '{ "user_msg": "....", "assistant_msg": "...." }' | node usewhisper-autohook.mjs ingest_whisper_turn --session_id "telegram:456" --user_id "telegram:123" --turn_json -

Output Format

get_whisper_context returns:

  • context: the packed context string to prepend
  • context_hash: a short hash you can store and pass back as previous_context_hash next time (optional)
  • meta: cache hit and compression info (useful for debugging)

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

No screenshots, media assets, or demo links are available.

Comparison set

Related Agents

GITHUB_REPOSactivepieces

Rank

70

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Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

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Traction

No public download signal

Freshness

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OPENCLAW
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Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T04:13:38.189Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "set",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "store",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "overriding",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:set|supported|profile capability:store|supported|profile capability:overriding|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/alinxus/usewhisper-autohook",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/alinxus/usewhisper-autohook",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alinxus-usewhisper-autohook/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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