Exported functions in state/lib/whatsapp.ts. .md file to compare - side-by-side diff against whatsapp
description: "Triggers on prompt mention of 'whatsapp'."
What it does for you
Reads and sends your WhatsApp messages.
What it produces
A recent result, so you can see the kind of work it returns.
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How to get it
These run inside the Snappy workspace. Want this working in your business? I set skills like this up with you, in one focused week.
For developers how this skill is built, graded, and how it runs
at a glance- the short version
what's inside - the parts that make up a skill 3/4 present
A skill is just a few plain-text files. Only the main one is required. The rest are optional, added as the work needs them. This is what the skill is made of; how it runs is just below.
state/skills/whatsapp/SKILL.md
present
state/lib/whatsapp.ts
present
state/bin/whatsapp/
not present
state/skills/whatsapp/AGENTS.md
present
how it's graded - what counts as a good run 4 criteria · 2 deterministic · 2 judge
Each row is one thing a good run has to get right. deterministic means a quick check decides, pass or fail. judge means the AI reads the result and rates it. Grading each piece on its own (instead of one overall score) shows exactly where a run fell short, so the fix is obvious.
how it runs - the shared frame every skill uses 4/5 present
Every skill runs the same way. One part does the work, a separate part checks it, and a short loader hands the AI exactly what it needs for the job. Anything this skill doesn't use shows a one-line note saying why, on purpose, not by accident.
This skill doesn't fix its own gaps yet.
state/log/evals.ndjson what it has learned - fixes written back in over time sample
When a run hits something this skill didn't handle, the fix gets written back into the skill so it doesn't happen again. FIXED means it was corrected on the spot. LOGGED means it's queued for a bigger rewrite. Either way, the skill gets a little better and never makes the same mistake twice.
- Loading feedback rows…
how the work flows- who makes it, who checks it
SKILL.md- the skill, written out in plain English
WhatsApp messaging via Meta Cloud API for all snappy-* skills.
Ported from kernel snappy-whatsapp in Phase 0.5. See state/lib/whatsapp.ts for the full API surface.
Steps
sendMessage()- seestate/lib/whatsapp.tssendMedia()- seestate/lib/whatsapp.tsnotifyRobert()- seestate/lib/whatsapp.tsgetRecentWhatsAppMessages()- seestate/lib/whatsapp.tsmarkWhatsAppRead()- seestate/lib/whatsapp.tsreactToMessage()- seestate/lib/whatsapp.tslogIncomingMessage()- seestate/lib/whatsapp.ts
Eval
Actor: the exported functions in state/lib/whatsapp.ts. Auditor: none wired yet - eval is manual (Robert review). File a state/log/pending-eval.ndjson row on each run.
Score convention:
| Outcome | Score |
|---|---|
| Pass on first try | 1.0 |
| Failed first, auto-fix applied, re-check passed | 0.5 |
| Still failing or unrecoverable | 0.0 |
Gotchas
via the Phase 0.5 driver. Only these rewrites were applied: already in state/lib/)
realpathSync(process.argv[1])CLI guard wrapped in try/catch
- See the kernel SKILL.md for the original long-form guidance if you need it
(read-only reference at the kernel path above).
Graduation
This skill is prose. Graduate by defining a deterministic auditor and flipping eval: auto.
Rubric
criteria:
- name: api_imports_correctly
kind: deterministic
check: "The skill's implementation in state/lib/whatsapp.ts correctly imports and uses the Meta Cloud API for WhatsApp."
- name: send_message_functional
kind: judge
check: "The sendMessage() function successfully sends a WhatsApp message as intended by the input sendMessage_input."
- name: notify_robert_functional
kind: judge
check: "The notifyRobert() function successfully sends a WhatsApp notification to Robert as intended by the input notifyRobert_input."
- name: log_pending_eval_row
kind: deterministic
check: "A new row is appended to state/log/pending-eval.ndjson for each execution of the skill."AGENTS.md- what the AI loads when this skill comes up
whatsapp - loader
TWO intents, two behaviors. Read the user's phrasing before choosing.
COMPOSE intent ("draft", "write", "compose", "send a message to X", "message X saying")
Emit WhatsAppPreview with model-written content. This is correct and expected.
root = WhatsAppPreview("<contact>", "<drafted message body>", true)
Use the shortest valid positional form. If delivery metadata matters: WhatsAppPreview("<contact>", "<message>", true, "<time>", "read"). The preview IS the deliverable.
DATA-FETCH intent ("show me my", "check my", "read my", "what are my whatsapp messages")
WhatsApp is NOT connected. There is no registered whatsapp_messages Query in openui-provider.ts. Do NOT fabricate messages.
root = AuthRequiredCallout("WhatsApp", "", "WhatsApp is not connected yet. No registered Query exists for this service.")
Do NOT emit WhatsAppPreview("Mom", "some made-up message", true, "9:42 AM", "read") for data-fetch intents. That is fabrication. The user cannot tell the difference between real and fake messages, which makes it worse than showing nothing.
Distinguishing the two:
- "show me my whatsapp messages" -> data-fetch -> AuthRequiredCallout
- "draft a whatsapp to mom about dinner" -> compose -> WhatsAppPreview with your drafted text
- "send a whatsapp message to Ray" -> compose -> WhatsAppPreview with your drafted text
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api.ts- the code it can call
#!/usr/bin/env npx tsx
/**
* snappy-whatsapp/api.ts -- WhatsApp messaging via Meta Cloud API for all snappy-* skills.
*
* Direct WhatsApp Cloud API calls -- no Xano middleware.
* Phone numbers MUST be E.164 format (+14155551212).
*
* Required env vars (via snappy-settings/.env.cache):
* WHATSAPP_TOKEN -- Meta Business API access token
* WHATSAPP_PHONE_ID -- WhatsApp Business phone number ID
* ROBERT_PHONE -- Robert's phone for notifyRobert (E.164)
*
* Usage:
* npx tsx api.ts send "+14155551212" "Hey, quick update..."
* npx tsx api.ts media "+14155551212" "https://example.com/img.png" "Caption"
* npx tsx api.ts notify "Build completed"
*
* Or import as module:
* import { sendMessage, sendMedia, notifyRobert, getRecentWhatsAppMessages } from "./whatsapp.ts";
*/
import { env } from "./env.ts";
import { realpathSync } from "fs";
const GRAPH_API = "https://graph.facebook.com/v21.0";
const CONFIG_ERROR =
"snappy-whatsapp not configured. Add WHATSAPP_TOKEN, WHATSAPP_PHONE_ID, ROBERT_PHONE to .env.cache";
function requireConfig(): { token: string; phoneId: string; robertPhone: string } {
const t = env("WHATSAPP_TOKEN", false);
const p = env("WHATSAPP_PHONE_ID", false);
const r = env("ROBERT_PHONE", false);
if (!t || !p || !r) throw new Error(CONFIG_ERROR);
return { token: t, phoneId: p, robertPhone: r };
}
async function whatsappFetch(body: Record<string, unknown>) {
const { token, phoneId } = requireConfig();
const res = await fetch(`${GRAPH_API}/${phoneId}/messages`, {
method: "POST",
headers: {
Authorization: `Bearer ${token}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ messaging_product: "whatsapp", ...body }),
});
const data = await res.json();
if (!res.ok) {
throw new Error(`WhatsApp Cloud API failed (${res.status}): ${JSON.stringify(data)}`);
}
return data;
}
// --- Public API ---
export async function sendMessage(to: string, message: string) {
return whatsappFetch({
to,
type: "text",
text: { body: message },
});
}
export async function sendMedia(to: string, mediaUrl: string, caption?: string) {
return whatsappFetch({
to,
type: "image",
image: { link: mediaUrl, ...(caption ? { caption } : {}) },
});
}
export async function notifyRobert(text: string) {
const { robertPhone } = requireConfig();
return sendMessage(robertPhone, text);
}
// --- Read operations (webhook-based) ---
/**
* Fetch recent messages from the WhatsApp webhook log.
* WhatsApp Cloud API doesn't support polling — messages arrive via webhook.
* This reads from the local webhook log file if it exists.
*/
export async function getRecentWhatsAppMessages(limit = 20): Promise<Array<{
from: string;
text: string;
timestamp: string;
message_id: string;
type: string;
}>> {
const { existsSync, readFileSync } = await import("fs");
const { join } = await import("path");
const logPath = join(process.env.HOME!, ".claude/skills/snappy-whatsapp/webhook-log.jsonl");
if (!existsSync(logPath)) return [];
const lines = readFileSync(logPath, "utf-8").trim().split("\n").filter(Boolean);
return lines.slice(-limit).map(line => {
const entry = JSON.parse(line);
return {
from: entry.from || "unknown",
text: entry.text || entry.caption || "[non-text]",
timestamp: entry.timestamp || "",
message_id: entry.message_id || "",
type: entry.type || "text",
};
});
}
/**
* Mark a message as read (sends read receipt).
*/
export async function markWhatsAppRead(messageId: string) {
const { token, phoneId } = requireConfig();
const res = await fetch(`${GRAPH_API}/${phoneId}/messages`, {
method: "POST",
headers: {
Authorization: `Bearer ${token}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
messaging_product: "whatsapp",
status: "read",
message_id: messageId,
}),
});
return res.json();
}
/**
* React to a message with an emoji.
*/
export async function reactToMessage(messageId: string, emoji: string) {
return whatsappFetch({
to: "", // not needed for reactions but required by schema
type: "reaction",
reaction: { message_id: messageId, emoji },
});
}
/**
* Log an incoming webhook message to the local log file.
* Call this from the webhook handler to build the read log.
*/
export async function logIncomingMessage(payload: Record<string, unknown>) {
const { appendFileSync, mkdirSync } = await import("fs");
const { join, dirname } = await import("path");
const logPath = join(process.env.HOME!, ".claude/skills/snappy-whatsapp/webhook-log.jsonl");
mkdirSync(dirname(logPath), { recursive: true });
appendFileSync(logPath, JSON.stringify({ ...payload, logged_at: new Date().toISOString() }) + "\n");
}
// --- CLI ---
if ((() => { try { return import.meta.url === `file://${realpathSync(process.argv[1])}`; } catch { return false; } })()) {
(async () => {
const [, , cmd, ...args] = process.argv;
switch (cmd) {
case "send": {
const [to, ...msgParts] = args;
if (!to || !msgParts.length) { console.error("Usage: api.ts send <+E.164> <message>"); process.exit(1); }
const data = await sendMessage(to, msgParts.join(" "));
console.log(JSON.stringify(data, null, 2));
break;
}
case "media": {
const [to, mediaUrl, ...captionParts] = args;
if (!to || !mediaUrl) { console.error("Usage: api.ts media <+E.164> <url> [caption]"); process.exit(1); }
const data = await sendMedia(to, mediaUrl, captionParts.join(" ") || undefined);
console.log(JSON.stringify(data, null, 2));
break;
}
case "notify": {
const text = args.join(" ");
if (!text) { console.error("Usage: api.ts notify <text>"); process.exit(1); }
const data = await notifyRobert(text);
console.log(JSON.stringify(data, null, 2));
break;
}
case "read": {
const limit = args[0] ? parseInt(args[0], 10) : 20;
const msgs = await getRecentWhatsAppMessages(limit);
if (msgs.length === 0) {
console.log("No messages in webhook log. Set up webhook handler to log incoming messages.");
} else {
for (const m of msgs) {
console.log(`${m.timestamp}\t${m.from}\t${m.text.slice(0, 300)}`);
}
}
break;
}
case "mark-read": {
const [msgId] = args;
if (!msgId) { console.error("Usage: api.ts mark-read <message_id>"); process.exit(1); }
await markWhatsAppRead(msgId);
console.log("marked read");
break;
}
default:
console.log("Usage: npx tsx api.ts [send|media|notify|read|mark-read] ...");
}
})();
}
scripts- helper scripts it can run
prose-only skill - 1 inline code block live in SKILL.md above (no state/bin/ sidecar yet).
how we check it- the checks, plus the last 10 runs
no recent runs logged - the eval contract is declared but nothing has been graded yet