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 agentmods add skills/itsribbz/godspeed/sybilnpx skills add itsribbZ/Godspeed --skill sybilgit clone --depth 1 https://github.com/itsribbZ/GodspeedWrote 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/itsribbz/godspeed/sybil)<a href="https://agentmods.dev/skills/itsribbz/godspeed/sybil"><img src="https://agentmods.dev/badge/skills/itsribbz/godspeed/sybil.svg" alt="Measured on agentmods" 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 | $0.00083 | $0.01658 |
| Opus 5 | $0.00042 | $0.00829 |
| Sonnet 5 | $0.00017 | $0.00332 |
| Haiku 4.5 | $0.00008 | $0.00166 |
Grade A, and why
sybil 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 5d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sybil — The Oracle of Escalation
Sybil was the prophetess of Delphi — the voice you consulted when you were truly stuck. In Homer, she is the only layer allowed to make external API calls mid-run. Expensive, precise, rare.
Role
Sybil is Homer's escalation path. Zeus invokes Sybil when:
- A MUSES worker returns ROI=0 (empty output, timeout, or unusable) on a research / synthesis subtask
- Zeus Phase 3 synthesize finds a plan-coverage gap no muse addressed
- Two muses disagree on a factual claim and Zeus cannot adjudicate
- A correction loop is detected (2+ user corrections on the same problem)
Sybil invokes Anthropic's advisor_20260301 API via the brain advise CLI. The advisor pattern runs Sonnet as executor with Opus as advisor on escalation — all in one /v1/messages request. See research/brain_v2_sota_synthesis_2026-04-10.md Part 1 for the full architecture.
Cost Cap (hard)
Max 2 Sybil escalations per Homer session_id. Enforced by sybil.py via per-session state file at Toke/automations/homer/sybil/.state/session_<session_id>.json. Approximate cost ceiling per session: ~$0.60 worst-case (each call ~$0.15-0.30 depending on advisor iterations).
If Sybil would be the 3rd escalation in a session, it refuses and Zeus escalates to L4 (ask the user) instead.
Preconditions (all must pass)
| Check | Why |
|---|---|
ANTHROPIC_API_KEY set in env |
Required for Anthropic API calls |
brain_cli.py reachable at expected path |
Sybil delegates through Brain's CLI |
brain help mentions advise subcommand |
Verifies the CLI path works end-to-end |
| Task is NOT creative content | Sacred Rule #6 — no advisor for lore / dialogue / GDD narrative / song / verse |
| Session cap not hit | Hard $ ceiling — 2 escalations per session |
Any failure → Sybil refuses silently, Zeus falls through to L4 (ask the user).
Invocation Contract
Zeus invokes Sybil programmatically — Sybil is a Python module, not a Claude-side tool.
# From Zeus or integration code (with sybil/ on sys.path):
from sybil import escalate
result = escalate(
stuck_task="<what Zeus was trying to accomplish>",
approaches_tried=["<muse 1 output summary>", "<muse 2 output summary>"],
blocker="<specific failure symptom>",
session_id="<Homer session id>",
max_uses=3,
max_tokens=4096,
)
if result["ok"]:
advisor_guidance = result["advisor_stdout"]
# Feed guidance back into Zeus plan revision (Phase 1 re-plan or Phase 3 re-synthesize)
else:
# Fall through to L4 (ask the user)
reason = result["reason"]
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 144 lines · 83 tokens per session scan A e21329db1208
sybil is a skill published in the GitHub repository itsribbZ/Godspeed (1 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 1,658 once invoked, about $0.0004 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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