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How to integrate Skill Scanner with OpenClaw

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How to integrate Skill Scanner with OpenClaw

 

Direct answer

 

Short answer: Treat Skill Scanner as an external API and implement an OpenClaw Skill in ClawHub that calls Skill Scanner’s REST endpoints (or accepts its webhooks), configure authentication (OAuth client or API key) as secure environment variables in ClawHub, verify incoming webhooks with a signature secret, keep long-running or persistent components (databases, queues, schedulers) outside the agent runtime, and debug by inspecting logs, API responses, credentials/scopes, and invocation traces. The integration is explicit: register the skill, supply credentials, wire a webhook or polling adapter, implement HMAC or bearer-token verification, and ensure idempotent retry logic and proper permission scopes.

 

Detailed plan and step-by-step

 

  • What we’re building: an OpenClaw Skill that requests scans from Skill Scanner, receives scan results (webhook or polling), and surfaces results to users or downstream systems. All network calls are explicit REST calls; authentication is OAuth or API key; stateful persistence runs outside the agent.

 

Prerequisites

 

  • Access to ClawHub (OpenClaw’s skill management console) to register and deploy a Skill.
  • Credentials for Skill Scanner: either an OAuth client (client_id/client_secret + token endpoint + scopes) or an API key and webhook signing secret.
  • An external storage or database for persistent scan results (Postgres, DynamoDB, etc.) and a reliable URL that Skill Scanner can call for webhooks (e.g., HTTPS endpoint behind a load balancer or a webhook relay for development).
  • Ability to configure environment variables / secrets in ClawHub (for access tokens, client secret, webhook secret).

 

Architecture overview

 

  • Skill (in OpenClaw agent): lightweight adapter that authenticates to Skill Scanner, enqueues scan requests, initiates on-demand scans, and acknowledges incoming webhooks or pulls results. The agent should be stateless; don’t store long-term data there.
  • External services: database for scan results, optional worker queue for heavy processing, and an HTTPS endpoint for webhooks (this can be a small web service you host).
  • Authentication: OAuth client credentials flow for machine-to-machine calls, or API key in Authorization header. Webhooks signed using HMAC and a secret for verification.

 

Step 1 — Prepare Skill Scanner credentials and webhook

 

  • Decide: webhook push vs polling. Webhooks are efficient; polling is simpler if webhooks are unavailable.
  • Obtain an OAuth client_id/client_secret (preferred for scoped access) or an API key. Also obtain webhook signing secret (HMAC) if Skill Scanner supports signing.
  • Document API endpoints you need (scan request, scan status, results download). Use those exact endpoints in your skill code — do not hardcode guesses; copy from Skill Scanner API docs.

 

Step 2 — Register and configure the Skill in ClawHub

 

  • Create a new Skill entry in ClawHub. Provide a short manifest or descriptor describing the runtime and the webhooks your Skill accepts (if the console asks for webhook callback URLs, use your external webhook receiver URL).
  • Store secrets in ClawHub’s secret manager or environment variables: client_id, client_secret (or API_KEY), webhook_secret, API_BASE_URL. Mark them as secret so they’re not exposed in logs or UI.
  • Define permission scopes for the skill runtime: outbound network access to Skill Scanner, any datastore/secret access required. Keep least privilege.

 

Step 3 — Implement authentication (example patterns)

 

  • OAuth client credentials (recommended for M2M) — flow: request token from token endpoint with client_id/client_secret, then use access\_token as Bearer in API calls. Cache tokens until expiry.
  • API key — send in Authorization: Bearer API\_KEY or a provider-specific header. Rotate regularly and store as secret.

 

OAuth token exchange example (curl)

 

//<b>//</b> Exchange client credentials for an access token
curl -X POST "https://auth.skillscanner.example/oauth2/token" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "grant_type=client_credentials&client_id=$CLIENT_ID&client_secret=$CLIENT_SECRET&scope=scan:write scan:read"

 

Step 4 — Call Skill Scanner API (example)

 

  • Use the returned access token to call scan endpoints. Implement retries for 500s and exponential backoff, and treat 4xx errors as permission/usage issues to surface in logs.

 

//<b>//</b> Request a new scan
curl -X POST "https://api.skillscanner.example/v1/scans" \
  -H "Authorization: Bearer $ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"target":"[email protected]:example/repo.git","options":{"depth":"full"}}'

 

Step 5 — Webhook receiver and signature verification (Node/Express example)

 

  • Host a small HTTPS endpoint externally (not inside ephemeral agent) that validates the webhook signature, persists the result, and enqueues any follow-up work. Return 200 quickly after validation.

 

//<b>//</b> Express webhook receiver that verifies HMAC signature
const express = require('express');
const crypto = require('crypto');

const app = express();
app.use(express.json());

const WEBHOOK_SECRET = process.env.WEBHOOK_SECRET;

function verifySignature(rawBody, headerSignature) {
  // //<b>//</b> compute HMAC using SHA256
  const hmac = crypto.createHmac('sha256', WEBHOOK_SECRET);
  hmac.update(rawBody);
  const expected = `sha256=${hmac.digest('hex')}`;
  // //<b>//</b> constant-time comparison
  return crypto.timingSafeEqual(Buffer.from(expected), Buffer.from(headerSignature));
}

app.post('/webhook', express.raw({ type: '*/*' }), (req, res) => {
  const signature = req.header('x-signature') || req.header('x-hub-signature-256');
  if (!signature || !verifySignature(req.body, signature)) {
    return res.status(401).send('invalid signature');
  }

  // //<b>//</b> parse and persist event (example)
  const event = JSON.parse(req.body.toString('utf8'));
  // //<b>//</b> persist to external DB or enqueue for worker
  // saveEventToDB(event);

  res.status(200).send('ok');
});

app.listen(8080);

 

Step 6 — Skill behavior inside OpenClaw agent

 

  • Keep agent code focused: token management, constructing requests, minimal orchestration (enqueueing jobs), and acknowledging incoming events to the external webhook receiver when the platform directs webhooks there.
  • Do not store long-lived scan results inside the agent. Use an external DB or object store. The agent can cache tokens in memory with expiry handling.
  • If a scan triggers long processing, push a message to an external queue (SQS, Pub/Sub, Redis Stream) and let workers handle the heavy lift.

 

Step 7 — Testing and debugging checklist

 

  • Verify that credentials are correct: try token exchange and a simple authenticated API call from a local environment before deploying.
  • Confirm ClawHub-provided environment variables are available to the runtime and that secrets are not leaked in logs.
  • If webhooks fail: confirm the webhook URL is reachable from Skill Scanner, check HTTP response codes, confirm signature header name and value format, and verify the webhook secret.
  • Inspect logs: agent runtime logs (for outgoing calls), webhook receiver logs (incoming events), and Skill Scanner API responses (error body contains cause). Log enough context to triage but avoid logging secrets.
  • Check API scopes: insufficient scopes return 403; inspect token introspection or token response scope claims if available.

 

Operational and security considerations

 

  • Secrets: store client\_secret/API keys in ClawHub secret storage; rotate periodically; avoid embedding secrets in code or repo.
  • Least privilege: request the minimum OAuth scopes and do not enable broad admin scopes for routine scans.
  • Idempotency: design endpoints to be idempotent or include an idempotency key for retries from the agent or webhook re-delivery.
  • Retries and backoff: implement exponential backoff for 5xx and 429 responses; respect Retry-After header.
  • Persistence: store results and state outside the agent to survive redeploys and scale workers horizontally.

 

Example end-to-end sequence (high-level)

 

  • Agent authenticates with Skill Scanner using OAuth and caches token.
  • Agent requests a scan for a target repository via POST /scans.
  • Skill Scanner starts a scan; when finished it POSTs results to your webhook URL with an HMAC signature.
  • Your external webhook service validates signature, persists results, and enqueues follow-up work.
  • Agent or workers pick up the persisted result and surface it to users or take automated actions.

 

Troubleshooting quick commands

 

  • Token exchange: run the token curl snippet and inspect JSON for access_token and expires_in.
  • API call: use curl to POST a scan and check HTTP status and response body for errors.
  • Webhook: use a request inspector (ngrok, webhook.site) during development to confirm payload and signature format.
  • Logs: check agent stdout/stderr in ClawHub and your webhook service logs for request/response pairs.

 

Final notes (constraints and guarantees)

 

  • I’ve described explicit, verifiable steps using standard REST/OAuth/webhook patterns that you can implement with ClawHub and an external webhook/service. I have not assumed undocumented OpenClaw internals or invented APIs; follow your Skill Scanner provider docs for exact endpoint names and header names and copy those values into the skill configuration and code.

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Troubleshooting Skill Scanner and OpenClaw Integration

1

OpenClaw skill manifest schema mismatch when registering Skill Scanner skills?

Likely cause: your Skill Scanner manifest doesn't match the official ClawHub schema (wrong manifest version, missing/renamed required fields, wrong types or enum values). Fix it by validating the manifest against the current schema from ClawHub docs, correcting field names/types (id, name, version, runtime, entrypoint, permissions), and re-registering while inspecting the registration error details and logs.

 

Validation checklist

 

Quick checks

  • Confirm manifest schema version matches ClawHub docs
  • Ensure required fields exist and use correct types/enums
  • Use JSON Schema validator or a local JS/TS manifest loader
  • Inspect registration API error body and runtime logs for precise key errors
// skill-manifest.js
module.exports = {
  manifestVersion: "2024-01",
  id: "scanner.example",
  name: "Scanner",
  version: "0.1.0",
  runtime: "nodejs18",
  entrypoint: "dist/index.js",
  permissions: ["scan.read"]
};

2

OpenClaw clawd returns "401 Unauthorized" when Skill Scanner calls OpenClaw API?

 

Quick checks

 

Direct answer: A 401 means the Skill Scanner’s call is unauthenticated — usually the Authorization header is missing/invalid, the API key/token env var isn’t loaded into the agent runtime, the token is expired/insufficient, or the wrong endpoint/URL is used.

  • Verify the Authorization: Bearer token in the outgoing request and env var names in ClawHub.
  • Confirm token validity, scopes/permissions, and clock skew.
  • Reproduce with curl and inspect runtime logs.
# reproduce call
curl -i -H "Authorization: Bearer $OPENCLAW_API_KEY" https://api.openclaw.example/skills

3

OpenClaw skill registry not showing Skill Scanner skills after deployment?

The registry not showing deployed Skill Scanner skills usually means the skill failed validation, is unpublished/draft, lacks the required metadata/tag for scanner visibility, or ClawHub/agent indexing hasn’t picked it up yet. Check deployment logs, skill manifest, publish status, and permissions first.

 

Troubleshooting steps

 

Follow these checks in order to find the root cause:

  • Deployment logs: inspect CI/ClawHub upload logs and agent runtime logs for validation or upload errors.
  • Manifest & metadata: confirm skill ID, version, type/tag for scanners, and required fields are present and valid.
  • Publish status & visibility: ensure the skill is published (not draft) and visible to your org/team.
  • Indexing delay & filters: refresh the registry, clear UI filters, or wait for indexing; re-trigger re-publish if needed.
  • Permissions & creds: verify service credentials and permission scopes are set so the registry can validate the skill.
  • Next steps: fix manifest/credentials, re-deploy, then re-check logs; contact ClawHub support if indexing/publishing stalls.

4

OpenClaw RPC/websocket handshake failed between Skill Scanner and OpenClaw?

Handshake failed means the Skill Scanner could not complete the WebSocket/RPC handshake with the OpenClaw runtime — usually a network, TLS, authentication, URL/port, or protocol mismatch. Fix by verifying connectivity, credentials, and compatible protocol versions on both sides.

 

Troubleshooting steps

 
  • Check connectivity: confirm RPC URL/port and no firewall/proxy blocking the WS port.
  • Validate auth: ensure environment vars/API key/OAuth token used by the scanner match the runtime’s expectations.
  • TLS & certificates: trust chain or disable strict TLS for local dev.
  • Protocol/version: confirm scanner and runtime speak the same RPC subprotocol.
  • Inspect logs: look for 401/403/400 or TLS errors on both sides and enable debug logging.
  • Restart: reload scanner after fixes and re-check skill manifest permissions.
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