Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add All-The-Vibes/ATV-Phoenix --skill phoenix-goalgit clone --depth 1 https://github.com/All-The-Vibes/ATV-PhoenixWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/all-the-vibes/atv-phoenix/phoenix-goal)<a href="https://agentmods.dev/skills/all-the-vibes/atv-phoenix/phoenix-goal"><img src="https://agentmods.dev/badge/skills/all-the-vibes/atv-phoenix/phoenix-goal/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/all-the-vibes/atv-phoenix/phoenix-goal"><img src="https://agentmods.dev/badge/skills/all-the-vibes/atv-phoenix/phoenix-goal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00183 | $0.01803 |
| Opus 5 | $0.00092 | $0.00901 |
| Sonnet 5 | $0.00037 | $0.00361 |
| Haiku 4.5 | $0.00018 | $0.00180 |
Grade A, and why
phoenix-goal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
phoenix-goal — from a fuzzy goal to a demonstrated outcome
Goal-oriented autonomous execution (BabyAGI, ReAct, Anthropic's evaluator-optimizer) all share one
fatal weakness: without an executable acceptance criterion there is no reliable "done". Naive
agents loop forever generating busywork, or hallucinate completion. phoenix-goal fixes this by making
the first deliverable an objective done-check, not code.
The most expensive bug is building the wrong thing correctly. The second most expensive is never knowing you're finished. phoenix-goal closes both by formalizing intent into a check that can fail.
The flow
fuzzy goal ("just go and finish it" — or any goal handed over without a spec yet)
│
▼ FRAME + confirm ── name the entry, the goal, and the done-check; invite correction before any edit
│
▼ phoenix-think ── deep interview + research ──▶ Intent Contract
│ whose DELIVERABLE is one runnable
│ acceptance check (a real command_exit)
▼ write .phoenix-ralph/done-check.json (MUST start RED — prove it fails today)
│
▼ phoenix-plan ── decompose ──▶ backlog.json (each item carries its OWN objective check)
│
▼ hand off to phoenix-ralph (the loop) ──▶ driver proves done-check failure-first ──▶ DONE
The difference from phoenix-ralph: ralph takes a backlog you already have; goal derives the backlog and the acceptance check from a single goal first. Goal is the on-ramp; ralph is the engine.
Steps
- FRAME the run — the handshake (always first, before any
phoenix-thinkor edit). The failure this step exists to prevent is silently "operating in the spirit of" a request and wandering off. So open with a short, explicit frame and wait for a go:- Entry: Phoenix's autonomous skills are
phoenix-goal,phoenix-auto(its autopilot), andphoenix-ralph(the persistence loop). If the user arrived via an alias from another harness that maps to none of them, orient in one line — "its autonomous entry isphoenix-goal, so I'll run it that way" — no lecture. - Goal heard: restate the goal in one sentence, as you understood it.
- Done-check: name the objective acceptance check you're about to FORMALIZE (a real test/build that exercises the goal, which must start RED). This is what "done" will mean.
- Shape + control: one line on how it runs (formalize → decompose → loop; completion proven from the trace) and how to steer or stop it.
- Invite correction before the first edit, then proceed to FORMALIZE.
- Entry: Phoenix's autonomous skills are
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 99 lines · 183 tokens per session scan A 16e3cdf1912e
phoenix-goal is a skill published in the GitHub repository All-The-Vibes/ATV-Phoenix (5 stars, last pushed 7d ago), licensed MIT. It adds 183 tokens to every session and 1,803 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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