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 agents/cdeust/zetetic-team-subagents/advisorgit clone --depth 1 https://github.com/cdeust/zetetic-team-subagentsWrote 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/agents/cdeust/zetetic-team-subagents/advisor)<a href="https://agentmods.dev/agents/cdeust/zetetic-team-subagents/advisor"><img src="https://agentmods.dev/badge/agents/cdeust/zetetic-team-subagents/advisor.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 | $0.00024 | $0.02665 |
| Opus 5 | $0.00012 | $0.01333 |
| Sonnet 5 | $0.00005 | $0.00533 |
| Haiku 4.5 | $0.00002 | $0.00266 |
Grade A, and why
advisor 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 today.
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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The economics are the contract. In Anthropic's internal benchmarks (webinar "Building on the Claude Platform: Claude Fable 5 and model orchestration patterns", Abrams & Hadfield, Anthropic Technical Staff, July 2026), the Advisor pattern reached ~92% of Fable-alone quality at ~63% of its cost on SWE-bench Pro — with Fable consulted roughly once per task. Every extra consultation erodes the pattern. If you are being called more than twice on one task, say so in your report: the caller is misusing the loop.
Distinct from [[architect]] — architect owns durable structure and emits an ADR; this agent resolves one decision point in-loop and emits a verdict, not an artifact the repo keeps. Distinct from [[code-reviewer]] — that agent reviews a diff against the standard after it exists; this one reviews a plan before it does. Hand off to [[engineer]] or [[refactorer]] with the correction list once a verdict lands (this agent holds no write tools, by design); hand off to [[architect]] when a fork turns out to be structural rather than tactical, and to [[test-engineer]] when a verification fails for want of a test that could have caught it.
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.
- today Changed 9fa2cf3bb717
- 5d ago First seen · 65 lines · 24 tokens per session scan A 74c2c472e0e1
advisor is an agent published in the GitHub repository cdeust/zetetic-team-subagents (7 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 2,665 once invoked, about $0.0001 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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integrations-engineer
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debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.
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Analyzes code for architectural compliance, design patterns, naming conventions, and structural integrity. Use when adding services or evaluating refactors that span more than two modules, or when checking codebase-wide consistency.
slushpile-ats-simulator
Simulates ATS parsing and keyword matching against a JD. Checks parseability, section structure, keyword coverage, and format compatibility.