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 adambkovacs/seine-agentic-search-orchestrator-plugin --skill seine-councilgit clone --depth 1 https://github.com/adambkovacs/seine-agentic-search-orchestrator-pluginWrote 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/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council)<a href="https://agentmods.dev/skills/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council"><img src="https://agentmods.dev/badge/skills/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council/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/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council"><img src="https://agentmods.dev/badge/skills/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.02600 |
| Opus 5 | $0.00010 | $0.01300 |
| Sonnet 5 | $0.00004 | $0.00520 |
| Haiku 4.5 | $0.00002 | $0.00260 |
Grade A, and why
seine-council 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 12d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seine Council (Backend 2)
Run Seine's deliberative council using Claude Code's native Agent tool.
Read agents/seine-kb/REFERENCE.md for schemas, ADR rules, and member semantics.
Evidence Vocabulary
| Label | Meaning | Numeric |
|---|---|---|
| SOLID | Multiple independent sources, no contradictions | 1.0 |
| SOFT | Single credible source or indirect evidence | 0.6 |
| SHAKY | Single biased source or conflicting evidence | 0.3 |
| UNKNOWN | Insufficient evidence | 0.0 |
Two Modes
| Mode | Agents | When |
|---|---|---|
| Triage | 3 agents (parallel) | Quick quality check — triggered by /seine-search on flag |
| Deliberate | 7 members + Round 2 synthesis | Full multi-perspective analysis (dig+ depth) |
Triage Mode
Spawn all 3 triage agents in parallel (single message):
Agent({ subagent_type: "seine-triage-completeness", model: "sonnet",
prompt: "Query: <query>\nResults: <search_results_json>" })
Agent({ subagent_type: "seine-triage-quality", model: "sonnet",
prompt: "Query: <query>\nResults: <search_results_json>" })
Agent({ subagent_type: "seine-triage-gaps", model: "sonnet",
prompt: "Query: <query>\nResults: <search_results_json>" })
Each returns: { "agent": "completeness|quality|gaps", "verdict": "pass|flag", "reason": "...", "action": null|{...} }
Deliberate Mode
Round 1 — Spawn all 7 members in parallel (single message)
Agent({ subagent_type: "seine-council-synthesizer", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
Agent({ subagent_type: "seine-council-contrarian", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
Agent({ subagent_type: "seine-council-lateral-hunter", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
Agent({ subagent_type: "seine-council-source-critic", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
Agent({ subagent_type: "seine-council-pattern-spotter", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
Agent({ subagent_type: "seine-council-blind-spot", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
Agent({ subagent_type: "seine-council-temporal", model: "sonnet",
prompt: "Query: <query>\nSearch results: <results_json>" })
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.
- 12d ago First seen · 208 lines · 20 tokens per session scan A f473858c7e3d
seine-council is a skill published in the GitHub repository adambkovacs/seine-agentic-search-orchestrator-plugin (25 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,600 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…