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-ralphgit 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-ralph)<a href="https://agentmods.dev/skills/all-the-vibes/atv-phoenix/phoenix-ralph"><img src="https://agentmods.dev/badge/skills/all-the-vibes/atv-phoenix/phoenix-ralph/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-ralph"><img src="https://agentmods.dev/badge/skills/all-the-vibes/atv-phoenix/phoenix-ralph.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 | $0.00142 | $0.01912 |
| Opus 5.5 | $0.00057 | $0.00765 |
| Sonnet 5.5 | $0.00028 | $0.00382 |
| Haiku 4.5 | $0.00014 | $0.00191 |
Grade A, and why
phoenix-ralph 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 1mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
phoenix-ralph — the persistence loop, gated by objective proof
Ralph (Geoffrey Huntley, ghuntley.com/ralph) is a dead-simple, powerful
idea: run the agent in a loop with a fixed prompt and a fresh context every iteration, with the
filesystem as the only memory. One task per loop. Huntley's original is literally
while :; do cat PROMPT.md | agent; done.
Phoenix adds the one thing Ralph (and Claude Code's ralph, and every "autonomous" loop) lacks: an
objective, tamper-evident completion proof. The loop does not stop when the agent says it's
done — it stops when the driver proves the top-level acceptance check is failure-first satisfied
(phoenix-mcp accept): the trace shows the check went red → green for the same check, the chain
is intact, and it is green right now.
Every other persistence loop ends in an opinion ("the reviewer approved", "the model thinks it's done"). phoenix-ralph ends in evidence.
Two ways to run it
A. Interactive (inside the Copilot CLI) — the common case. You're in a live copilot session and
invoke /phoenix-ralph. There is no external script. The loop runs in-session: within your
agentic turn you iterate edit → phoenix_sense → heal → phoenix_sense, one backlog item at a time,
and you do not say "done" until phoenix_accept (the gate ledger, an MCP tool) returns ok=true for
the done-check. The agent's own tool-use loop is the loop; the skill's rules are what keep it honest.
If the job outgrows one turn, the user just says "continue" and you re-read the state files and resume.
B. Unattended / large (copilot -p) — fresh context per iteration. For overnight jobs, CI, or work
too big for one context window, the external driver dist/ralph/phoenix-ralph.ps1 (+ bash twin)
re-invokes the agent with a fresh context every loop (Huntley's key trick against the ~150k-token
degradation). Same gate, same state files — the driver calls phoenix-mcp accept instead of the
in-session tool. Use this when nobody's watching or the backlog is long.
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.
- 1mo ago First seen · 105 lines · 142 tokens per session scan A ea6de560748d
phoenix-ralph is a skill published in the GitHub repository All-The-Vibes/ATV-Phoenix (6 stars, last pushed 6d ago), licensed MIT. It adds 142 tokens to every session and 1,912 once invoked, about $0.0006 per session on Opus 5.5. 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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