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Direct answer: Integrate Asana with OpenClaw by registering an Asana OAuth app, implementing the OAuth authorization + token exchange in a small external web service, storing access + refresh tokens in a secure external store referenced by your OpenClaw skill (configured in ClawHub), creating and validating Asana webhooks on that external endpoint, and having your webhook receiver either invoke the OpenClaw skill (through ClawHub’s invocation pattern) or enqueue events for the skill to process. Keep long-lived state (tokens, webhook subscriptions, retry queues, audit logs) outside the agent runtime, validate every incoming webhook (signature/handshake), handle token refresh and rate limits, and instrument logs and API-response checks for production reliability.
// Example: build the authorize URL for the user's browser
// No claim about ClawHub UI; this is standard Asana OAuth authorize URL
const clientId = 'YOUR_ASANA_CLIENT_ID';
const redirectUri = 'https://your.example.com/oauth/callback';
const state = 'secure_random_state';
const authUrl = `https://app.asana.com/-/oauth_authorize?client_id=${encodeURIComponent(clientId)}&redirect_uri=${encodeURIComponent(redirectUri)}&response_type=code&state=${encodeURIComponent(state)}`;
# Example curl to exchange code for tokens
# <b>//</b> Replace placeholders with your values
curl -X POST https://app.asana.com/-/oauth_token \
-d client_id=YOUR_ASANA_CLIENT_ID \
-d client_secret=YOUR_ASANA_CLIENT_SECRET \
-d grant_type=authorization_code \
-d redirect_uri=https://your.example.com/oauth/callback \
-d code=AUTHORIZATION_CODE_FROM_CALLBACK
# Example curl to refresh tokens
# <b>//</b> Replace placeholders with your values
curl -X POST https://app.asana.com/-/oauth_token \
-d client_id=YOUR_ASANA_CLIENT_ID \
-d client_secret=YOUR_ASANA_CLIENT_SECRET \
-d grant_type=refresh_token \
-d refresh_token=THE_REFRESH_TOKEN
# Example curl to create a webhook for a resource (task or project)
# <b>//</b> Use a valid Asana access token for the user/workspace
curl -X POST https://app.asana.com/api/1.0/webhooks \
-H "Authorization: Bearer USER_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": {"resource": "1234567890", "target": "https://your.example.com/asana/webhook"}}'
const express = require('express');
const crypto = require('crypto');
const app = express();
// <b>//</b> We need the raw body to verify signatures
app.use(express.raw({ type: '*/*' }));
app.post('/asana/webhook', (req, res) => {
const body = req.body; // <b>//</b> raw Buffer
const headers = req.headers;
// <b>//</b> Handshake: Asana may send X-Hook-Secret header during webhook registration.
// <b>//</b> If present, echo it back to confirm the webhook.
const hookSecret = headers['x-hook-secret'];
if (hookSecret) {
res.setHeader('X-Hook-Secret', hookSecret);
return res.status(200).send(); // <b>//</b> Confirm handshake
}
// <b>//</b> Verify signature header (Asana uses X-Hook-Signature with HMAC-SHA256)
const signature = headers['x-hook-signature'];
const clientSecret = process.env.ASANA_CLIENT_SECRET || ''; // <b>//</b> Keep secret in ClawHub secrets
if (!signature) {
return res.status(400).send('Missing signature');
}
const expected = crypto
.createHmac('sha256', clientSecret)
.update(body)
.digest('base64');
if (signature !== expected) {
return res.status(401).send('Invalid signature');
}
// <b>//</b> At this point the event is validated: parse JSON and process.
const payload = JSON.parse(body.toString('utf8'));
// <b>//</b> Enqueue or forward the event to your OpenClaw skill/processing pipeline.
// <b>//</b> Example: push to a queue or call ClawHub's invocation endpoint (use whatever invocation method you have).
// enqueueEvent(payload);
res.status(200).send('OK');
});
app.listen(3000);
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1
Direct answer: A 401 with invalid_grant usually means the OAuth grant (authorization code or refresh token) is invalid, expired, revoked, or the redirect_uri or client credentials don’t match. Fix by checking server time, ensuring client_id/secret and redirect_uri exactly match the authorization request, and issuing a fresh authorization code or refresh token (don’t reuse codes).
Check these in order:
2
Direct answer: Webhook verification fails when the signature your code computes differs from the sender’s — usually because the secret is wrong, the raw body was changed by middleware, the wrong header/algorithm is used, or the timestamp is outside the allowed window. Fix by logging raw body + headers, computing the correct HMAC with the secret from env, and doing a constant-time compare.
3
Map Asana custom fields/enums by calling Asana’s Custom Field API, reading the enum_options array, building a mapping from option GID to label/value, storing that mapping in your skill configuration or an external store, and validating it at skill startup so agents translate reliably between systems.
Practical steps:
// fetch Asana custom field
const res = await fetch(`https://app.asana.com/api/1.0/custom_fields/${gid}`, {
headers: { Authorization: `Bearer ${process.env.ASANA_PAT}` }
});
const { data } = await res.json();
// data.enum_options -> map option.gid to option.name
4
Implement a hardened retry/backoff inside your OpenClaw skill: detect Asana 429/RateLimitError, honor the Retry-After header, use exponential backoff with jitter, cap retries and surface logs/metrics to the agent runtime. Offload long waits or heavy queues to an external worker when reliability or scale matter.
Use environment-configured params, inspect response headers, and fail fast when quota is exhausted. Keep stateful retrying outside the short-lived agent runtime when possible.
Retry-After when present.// fetchWithRetry for Asana inside a skill
async function fetchWithRetry(url, opts) {
const max = parseInt(process.env.MAX_RETRIES)||5;
const base = parseInt(process.env.BASE_MS)||500;
for (let i=0;i<max;i++) {
const res = await fetch(url, opts);
if (res.status!==429) return res;
const ra = parseInt(res.headers.get('Retry-After'))||0;
const backoff = ra>0 ? ra*1000 : base * (2**i) + Math.random()*100;
await new Promise(r=>setTimeout(r, backoff));
// log to agent runtime for debugging
}
throw new Error('RateLimitError: exceeded retries');
}
This prompt helps an AI assistant understand your setup and guide you through the fix step by step, without assuming technical knowledge.
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