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 zeuikli/claude-pilot-suite --skill opus-pilotgit clone --depth 1 https://github.com/zeuikli/claude-pilot-suiteWrote 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/zeuikli/claude-pilot-suite/opus-pilot)<a href="https://agentmods.dev/skills/zeuikli/claude-pilot-suite/opus-pilot"><img src="https://agentmods.dev/badge/skills/zeuikli/claude-pilot-suite/opus-pilot/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/zeuikli/claude-pilot-suite/opus-pilot"><img src="https://agentmods.dev/badge/skills/zeuikli/claude-pilot-suite/opus-pilot.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 | $0.00188 | $0.06337 |
| Opus 5 | $0.00094 | $0.03168 |
| Sonnet 5 | $0.00038 | $0.01267 |
| Haiku 4.5 | $0.00019 | $0.00634 |
Grade A, and why
opus-pilot 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 10d 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opus Pilot — Ceiling-Elevation Execution Playbook
Thesis
Vanilla Opus is a strong solo solver. Opus + harness engineering is a stronger orchestrator that surpasses vanilla Opus on architecture / synthesis / counter-factual tasks.
AgentOpt (P10 / arxiv 2604.06296): On HotpotQA, Opus solo = 31.71%; Ministral planner + Opus solver = 74.27% (+42.56pp). Individual model capability does NOT predict ensemble performance. The reverse insight: Opus orchestrating Opus (via reverse-advisor) likewise outperforms solo Opus. Meta-Harness (P03 / arxiv 2603.28052): Harness optimization with full execution-history access yields 5–10pp uplift on cross-domain transfer; the diagnostic loop (read-traces → form-causal-hypothesis → propose-fix) requires depth-of-reasoning that only Opus reliably executes on dense diagnostics. Confucius (P02 / arxiv 2512.10398) §3: Scalable scaffolding (per-codebase memory + meta-agent dual critique) beats raw capability on real-world repos. CAR (P07 / preprints 202603.1756): Treating harness as Control / Agency / Runtime layers makes harness mismatches diagnosable; Opus can introspect on labeled CAR declarations where Sonnet/Haiku miss the implication.
What this SKILL actually does (analytical estimate; empirical A/B vs vanilla Opus 4.7 to be verified per § Verification):
- On hard analytical tasks (architecture, counter-factual, synthesis) → +8–15% quality uplift over vanilla Opus via Reverse-Advisor + Parallel Hypotheses + CAR explicitness.
- On easy/recall tasks → flat or slight loss vs vanilla Opus (overhead > value); fast-path (skip mandatory pre-flights) addresses this.
- On medium/agentic tasks → −20–40% cost via down-delegation to Sonnet/Haiku sub-agents (Opus as planner only).
→ Opus + this SKILL ≠ "always more thinking". It's structured thinking + explicit delegation. Opus's failure mode is internal exhaustive exploration; this SKILL externalizes the exploration into auditable artifacts and parallel sub-agents.
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.
- 10d ago First seen · 368 lines · 188 tokens per session scan A ab4b3ccdfe01
opus-pilot is a skill published in the GitHub repository zeuikli/claude-pilot-suite (24 stars, last pushed 4mo ago), licensed MIT. It adds 188 tokens to every session and 6,337 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 2026-08-30.
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