atomic-unit-recall-aggregate

atomic-unit-recall-aggregate is a skill for Claude Code, Codex from yogsoth-ai/de-anthropocentric-research-engine. It costs 113 tokens per session (438 once invoked), scanned A, original, Apache-2.0.

A final calculation that combines individual fact-matching decisions into a recall score. Recall measures how much of the reference content appears in a target text.

In plain words
What is it for?
Use it after atomic facts have been matched against a summary, abstract, or other candidate text.
Why use it?
It turns many separate coverage judgments into an overall result while preserving important reliability warnings for some scoring methods.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it after atomic facts have been matched against a summary, abstract, or other candidate text.

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Install with agentmods
npx agentmods add skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate
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.

Any agent
npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill atomic-unit-recall-aggregate
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine

Made for: Claude Code, Codex.

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 atomic-unit-recall-aggregate

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate/github.svg)](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate/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 atomic-unit-recall-aggregate

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/atomic-unit-recall-aggregate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 438 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00113 $0.00438
Opus 5 $0.00056 $0.00219
Sonnet 5 $0.00023 $0.00088
Haiku 4.5 $0.00011 $0.00044

Measured 11d ago against content hash 2c6a2c822c0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

atomic-unit-recall-aggregate 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 11d 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.

paper-reading/skills/atomic-unit-recall-aggregate/SKILL.md · 37 lines

What it actually says

Atomic Unit Recall Aggregate

Final aggregation step of the atomic-unit chain — normalized recall (ACU) or V_strict/A_strict + run-level ranking (Nugget). Added specifically to fix coverage-audit finding S5: the original graph's atomic-unit chain was a dead end at matching, with no node computing the actual reported score.

Execution

Subagent — spawned via spawn-agent skill.

Nugget's Reliability Caveat Is Load-Bearing

Nugget-style per-topic scores are documented as unreliable (Kendall τ=0.297–0.539) — only run-level aggregation across multiple candidates is trustworthy (τ=0.887). This SOP must carry that caveat forward in its output whenever it runs Nugget-style aggregation on a single candidate; do not silence it for a cleaner-looking report.

Available SOPs

SOP When to use
spawn-agent Spawn a customized CC subagent with full MCP tool access.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 37 lines · 113 tokens per session scan A 2c6a2c822c0c

Subscribe to this mod's changes

atomic-unit-recall-aggregate is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (449 stars, last pushed yesterday), licensed Apache-2.0. It adds 113 tokens to every session and 438 once invoked, about $0.0006 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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