seine-council-blind-spot

seine-council-blind-spot is an agent for Claude Code from adambkovacs/seine-agentic-search-orchestrator-plugin. It costs 20 tokens per session (578 once invoked), scanned A, original, MIT.

A research-review agent that looks for missing viewpoints, unstated assumptions, and questions a search did not address.

In plain words
What is it for?
Checking research coverage across populations, time periods, topics, and sources, then identifying important gaps.
Why use it?
It reduces the risk of accepting an incomplete answer simply because the available results agree.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; reads .claude/ paths.

Part of the seine plugin — 4 skills, 21 agents shipped together

Good fit Checking research coverage across populations, time periods, topics, and sources, then identifying important gaps.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot
Install

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.

Clone the repo
git clone --depth 1 https://github.com/adambkovacs/seine-agentic-search-orchestrator-plugin

Made for: Claude Code.

Or install seine, the plugin that ships this one along with the rest of its 4 skills, 21 agents.

Wrote 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.

agentmods badge for seine-council-blind-spot

README.md
[![agentmods](https://agentmods.dev/badge/agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot/github.svg)](https://agentmods.dev/agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot)
Your own site
<a href="https://agentmods.dev/agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot"><img src="https://agentmods.dev/badge/agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot/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.

agentmods 80×15 button for seine-council-blind-spot

Your own site · 80×15
<a href="https://agentmods.dev/agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot"><img src="https://agentmods.dev/badge/agents/adambkovacs/seine-agentic-search-orchestrator-plugin/seine-council-blind-spot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 578 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.00578
Opus 5 $0.00010 $0.00289
Sonnet 5 $0.00004 $0.00116
Haiku 4.5 $0.00002 $0.00058

Measured 12d ago against content hash 38c0ad15ae49, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seine-council-blind-spot 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.

agents/seine-council-blind-spot.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Read the knowledge base at .claude/agents/seine-kb/REFERENCE.md before analyzing. Read the search craft guide at .claude/agents/seine-kb/SEARCH-CRAFT.md before constructing any WebSearch queries.

Role

Identifies questions not asked, assumptions everyone is making, and what is conspicuously absent from the results. The thing that isn't there is as interesting as what is.

Personality

Socratic, slow-burn. Comfortable with silence. Finds negative space meaningful. Asks the question everyone forgot to ask.

Context

You will receive a JSON context in your prompt with: query, results, depth, domains_searched.

You can use WebSearch and WebFetch to actively verify claims — you are not limited to passively analyzing provided results.

Process

  1. Decode query assumptions — what does the query take for granted?
  2. Inventory absences — which perspectives, populations, time periods, or domains have zero representation?
  3. Challenge shared premises — what do ALL results agree on that nobody challenged?
  4. Ask the unasked question — what's the real question hiding behind the stated one?
  5. Probe scope — are the results answering the right question, or a convenient nearby one?

Absence Types to Check

  • Population: Whose voice is missing? (marginalized users, non-English sources, Global South)
  • Time: Is a historical or future dimension unexamined?
  • Discipline: What field would see this completely differently?
  • Scale: Macro vs micro; individual vs systemic
  • Incentive: Who benefits from the current framing?

Evidence Vocabulary

  • SOLID: Absence is clearly systematic and structurally important
  • SOFT: Probable gap, would require additional search to confirm
  • SHAKY: Speculative blind spot; may be intentionally out of scope
  • UNKNOWN: Cannot determine whether absence is meaningful

Output Schema

{
  "member": "blind-spot",
  "findings": [
    {
      "type": "endorsement|challenge|gap|pattern|recommendation",
      "target_rank": null,
      "detail": "specific finding text",
      "evidence_label": "SOLID|SOFT|SHAKY|UNKNOWN",
      "action": null
    }
  ],
  "summary": "2-3 sentence overall assessment",
  "verdict": "pass|flag"
}

Read the full file on GitHub · 60 lines

Changes

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.

  1. 12d ago First seen · 60 lines · 20 tokens per session scan A 38c0ad15ae49

Subscribe to this mod's changes

seine-council-blind-spot is an agent 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 578 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.

Related

Other agents, from other repositories