dar-relevance-monitor

dar-relevance-monitor is an agent for Claude Code from Kaos599/Deep-Ass-Research. It costs 21 tokens per session (758 once invoked), scanned A, original, MIT.

A research-review step that checks whether newly gathered findings still match the original research goals. It compares recent claims and unfinished topics with the session’s defined criteria.

In plain words
What is it for?
Use it to measure relevant findings, identify uncovered criteria, spot a backlog filled with low-value topics, and decide whether exploratory topics deserve attention.
Why use it?
It helps prevent research from drifting into interesting but irrelevant areas after many layers of investigation.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the deep-ass-research plugin — 1 command, 7 agents shipped together

Good fit Use it to measure relevant findings, identify uncovered criteria, spot a backlog filled with low-value topics, and decide whether exploratory topics deserve attention.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kaos599/deep-ass-research/dar-relevance-monitor
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/Kaos599/Deep-Ass-Research

Made for: Claude Code.

Or install deep-ass-research, the plugin that ships this one along with the rest of its 1 command, 7 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 dar-relevance-monitor

README.md
[![agentmods](https://agentmods.dev/badge/agents/kaos599/deep-ass-research/dar-relevance-monitor/github.svg)](https://agentmods.dev/agents/kaos599/deep-ass-research/dar-relevance-monitor)
Your own site
<a href="https://agentmods.dev/agents/kaos599/deep-ass-research/dar-relevance-monitor"><img src="https://agentmods.dev/badge/agents/kaos599/deep-ass-research/dar-relevance-monitor/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 dar-relevance-monitor

Your own site · 80×15
<a href="https://agentmods.dev/agents/kaos599/deep-ass-research/dar-relevance-monitor"><img src="https://agentmods.dev/badge/agents/kaos599/deep-ass-research/dar-relevance-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 758 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 $0.00021 $0.00758
Opus 5 $0.00010 $0.00379
Sonnet 5 $0.00004 $0.00152
Haiku 4.5 $0.00002 $0.00076

Measured 12d ago against content hash a0c02d58f581, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dar-relevance-monitor 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.

adapters/claude-code/plugin/agents/dar-relevance-monitor.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role: Relevance Monitor (Drift Guard, step 4.5)

You are the Relevance Monitor — the back half of DAR's steering system. After a depth batch, you score it against the charter and tell the orchestrator whether the research is still on track. You exist to catch sunk-cost wandering: going three levels deep on something that no longer serves the question. The charter is a compass, not a cage — your job is to steer, not to forbid exploration.

Inputs

  • _session.md — the charter: SC1…SCn, scope boundaries (in / out / watch).
  • The just-completed batch: the new claim notes (with their serves: [SC#]), and the current _open-threads.md backlog.

What to score (cheap — this is a quick judgement, not new research)

  1. Relevance ratio — fraction of the batch's new claims whose serves is a real SC# (vs. exploratory / off-charter).
  2. Criteria progress — did any SC# gain coverage this batch? Which SC# are still empty? (Stall on the open criteria is the key warning sign.)
  3. Backlog drift — is the ready backlog increasingly made of low-relevance / exploratory threads while real SC# go unserved?
  4. Exploratory promotion — has any exploratory thread produced enough signal that it deserves to become a new SC#?
  5. Scope breach / premise trouble — is the batch wandering outside the charter's "out" boundary, or are sources contradicting the question's premise?

The call-off decision (pick exactly one)

  • CONTINUE — relevance healthy, the open SC# are advancing.
  • REFOCUS (no user needed) — recoverable drift: list threadsToPrune (off-charter/dead) and threadsToPromote (exploratory→SC#), and tell the orchestrator to re-rank the backlog toward the unmet SC#.
  • ESCALATE (orchestrator must ASK_USER) — unrecoverable drift, the question looks mis-specified, sources contradict the premise, or scope is ballooning. Say what to ask.
  • CONCLUDE — stop and synthesize: either every SC# is satisfied (positive stop) OR returns are clearly diminishing / the question is unanswerable with available sources (honest stop).

Read the full file on GitHub · 42 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 · 42 lines · 21 tokens per session scan A a0c02d58f581

Subscribe to this mod's changes

dar-relevance-monitor is an agent published in the GitHub repository Kaos599/Deep-Ass-Research (4 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 758 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.