Exported functions in state/lib/imessage.ts. .md file to compare - side-by-side diff against imessage
imessage
description: "Triggers on prompt mention of 'imessage'."
What it does for you
Sends iMessages for you.
What it produces
A recent result, so you can see the kind of work it returns.
loading…
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/imessage/SKILL.md
present
state/lib/imessage.ts
present
state/bin/imessage/
not present
state/skills/imessage/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 5/5 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.
state/log/pending-eval.ndjson - iMessage send routes through Mac Mini over SSH — there's no first-party iMessage HTTP API. The Mini is the only sending host.
- sendIMessage is irreversible side-effect — keep behind scope-only default per program.md
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
import from `state/lib/imessage.ts` — `sendIMessage()`, `readRecent()
readRecent()` after a send to confirm the message landed in the local store
SKILL.md- the skill, written out in plain English
imessage
iMessage sending via Mac Mini SSH.
Ported from kernel snappy-imessage in Phase 0.5. See state/lib/imessage.ts for the full API surface.
Steps
sendIMessage()- seestate/lib/imessage.tsreadRecent()- seestate/lib/imessage.ts
Eval
Actor: the exported functions in state/lib/imessage.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: calls_send_imessage
kind: deterministic
check: "The skill execution log must contain a call to the sendIMessage() function. (e.g., check 'state/log/pending-eval.ndjson' for relevant entries indicating function calls)."
- name: calls_read_recent
kind: deterministic
check: "The skill execution log must contain a call to the readRecent() function. (e.g., check 'state/log/pending-eval.ndjson' for relevant entries indicating function calls)."
- name: output_matches_imessage_api
kind: judge
check: "The output of the skill, particularly from readRecent(), should reflect a structure consistent with the iMessage API as defined in 'state/lib/imessage.ts', exhibiting correct message formats and recipient/sender information."
- name: side_effects_honest
kind: judge
check: "Any iMessage sent via sendIMessage() should be verifiable on the target device, and readRecent() should accurately reflect recent messages without unexpected side effects."AGENTS.md- what the AI loads when this skill comes up
imessage - loader
Per-turn rules for the imessage skill. Full reference: state/skills/imessage/SKILL.md. Do not skip these.
Critical Rules
- iMessage send routes through Mac Mini over SSH - there's no first-party iMessage HTTP API. The Mini is the only sending host.
sendIMessageis irreversible side-effect - keep behind scope-only default per program.md
Commands
| ui dashboard | state/skills/imessage/resources/ui.openui | |invoke: import from state/lib/imessage.ts - sendIMessage(), readRecent() |verify: readRecent() after a send to confirm the message landed in the local store |eval log: state/log/pending-eval.ndjson (manual eval - skill: "imessage")
OpenUI Resource
- Skill-owned OpenUI Lang resource:
state/skills/imessage/resources/ui.openui. Read it before rendering or editing this skill's generated component surface. - Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
- System resources compose OpenUI primitives and inherit SnappyChat tokens. Use
ui_contract: brandedin SKILL.md only for deliberate platform or client visuals.
Known Pitfalls
- SSH path to Mac Mini must be reachable - no fallback. If the Mini is offline, sends silently fail; verify with
readRecent. - Mac Mini server context: see
mac-mini-serverskill /mac-mini-remote-opsskill in the wider catalog if SSH config drifts
Self-Test
An agent reading this should correctly:
- [ ] Default
sendIMessageto scope-only - [ ] Verify sends with
readRecent, not just trust the SSH return - [ ] Recognize the Mac Mini SSH dependency
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] imessage: <what was missing>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(date -u +%FT%TZ)] imessage: <what was missing or fixed> [FIXED|LOGGED]" >> state/log/loader-feedback.log
FIXED= you patched this loader inline (P-fix).LOGGED= too large for inline; the PostToolUse enqueue + Stop-hook drain
will rewrite the loader from scratch on next session-end.
Do not skip this. Every agent run must leave the system better than it found it. The loader is the setpoint; you are the sensor; the gap is the error signal; closing the gap is the correction.
api.ts- the code it can call
#!/usr/bin/env npx tsx
/**
* snappy-imessage/api.ts -- iMessage sending via Mac Mini SSH.
*
* Uses osascript for reliable sends, sqlite3 on chat.db for reads.
* Per AGENTS.md: SSH to Mac Mini, phone numbers must be E.164.
*
* Usage:
* npx tsx api.ts send +14155551212 "Hey, checking in!"
* npx tsx api.ts recent
* npx tsx api.ts recent +14155551212 5
*
* Or import as module:
* import { sendIMessage, readRecent } from "./imessage.ts";
*/
import { execSync } from "child_process";
import { env } from "./env.ts";
import { realpathSync } from "fs";
const MAC_MINI = "robertboulos@10.0.0.199";
function ssh(command: string): string {
const escaped = command.replace(/'/g, "'\\''");
return execSync(`ssh ${MAC_MINI} '${escaped}'`, {
encoding: "utf-8",
timeout: 30_000,
}).trim();
}
/** Send an iMessage to a phone number (E.164 format). */
export function sendIMessage(to: string, text: string): string {
if (!/^\+\d{10,15}$/.test(to)) {
throw new Error(`Invalid E.164 phone number: ${to}`);
}
const escapedText = text.replace(/\\/g, "\\\\").replace(/"/g, '\\"');
return ssh(
`osascript -e 'tell application "Messages" to send "${escapedText}" to buddy "${to}" of (service 1 whose service type is iMessage)'`
);
}
/**
* Read messages from chat.db.
*
* @param contact Optional handle filter (phone/email substring match).
* @param limit Max rows. Ignored when sinceMs is set (use a big limit guard instead).
* @param sinceMs If set, only rows newer than this unix-ms timestamp.
*/
export function readRecent(contact?: string, limit = 10, sinceMs?: number): string {
// Shell out to the Python reader on the Mac Mini — it decodes attributedBody
// (modern iMessage stores text there, not in the plain `text` column).
const flags: string[] = [];
if (sinceMs) flags.push(`--since-unix ${Math.floor(sinceMs / 1000)}`);
flags.push(`--limit ${sinceMs ? 50000 : limit}`);
if (contact) flags.push(`--contact "${contact.replace(/"/g, "")}"`);
return ssh(`python3 ~/.snappy/imessage-read.py ${flags.join(" ")}`);
}
// --- CLI ---
if ((() => { try { return import.meta.url === `file://${realpathSync(process.argv[1])}`; } catch { return false; } })()) {
(async () => {
const [, , cmd, ...args] = process.argv;
switch (cmd) {
case "send": {
const [to, ...textParts] = args;
if (!to || !textParts.length) { console.error("Usage: api.ts send <phone> <text>"); process.exit(1); }
console.log(sendIMessage(to, textParts.join(" ")));
console.log("sent");
break;
}
case "recent": {
const [contact, limitStr] = args;
const limit = limitStr ? parseInt(limitStr, 10) : 10;
console.log(readRecent(contact || undefined, limit));
break;
}
default:
console.log("Usage: npx tsx api.ts [send|recent] ...");
}
})();
}
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
| timestamp | verb | score | primary_issue | artifact |
|---|---|---|---|---|
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:56Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:56Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |