0.3.1-loop-closure-attention-1

0.3.1-loop-closure-attention-1 is a skill for Claude Code from sancovp/dinf. It costs 18 tokens per session (161 once invoked), scanned A, original, MIT.

An internal checklist that stops first, records a fingerprint of the current work, and then treats the result as sealed.

In plain words
What is it for?
It is for structuring internal reasoning when stopping, identifying a state, and closing a loop.
Why use it?
It encourages pausing and recording a recognizable state before closing a process. The description does not explain how the fingerprint is created.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the dinf plugin — 26 skills shipped together

Good fit It is for structuring internal reasoning when stopping, identifying a state, and closing a loop.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sancovp/dinf/0.3.1-loop-closure-attention-1
View source ↗ sancovp/dinf
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 sancovp/dinf --skill 0.3.1-loop-closure-attention-1
Clone the repo
git clone --depth 1 https://github.com/sancovp/dinf

Made for: Claude Code.

Or install dinf, the plugin that ships this one along with the rest of its 26 skills.

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 0.3.1-loop-closure-attention-1

README.md
[![agentmods](https://agentmods.dev/badge/skills/sancovp/dinf/0.3.1-loop-closure-attention-1/github.svg)](https://agentmods.dev/skills/sancovp/dinf/0.3.1-loop-closure-attention-1)
Your own site
<a href="https://agentmods.dev/skills/sancovp/dinf/0.3.1-loop-closure-attention-1"><img src="https://agentmods.dev/badge/skills/sancovp/dinf/0.3.1-loop-closure-attention-1/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 0.3.1-loop-closure-attention-1

Your own site · 80×15
<a href="https://agentmods.dev/skills/sancovp/dinf/0.3.1-loop-closure-attention-1"><img src="https://agentmods.dev/badge/skills/sancovp/dinf/0.3.1-loop-closure-attention-1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 161 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 $0.00018 $0.00161
Opus 5 $0.00009 $0.00081
Sonnet 5 $0.00004 $0.00032
Haiku 4.5 $0.00002 $0.00016

Measured 10d ago against content hash da7cb8e39451, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

0.3.1-loop-closure-attention-1 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 10d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

aios/loop-closure-cor/loop-closure-attention-1/.claude/skills/0.3.1-loop-closure-attention-1/SKILL.md · 21 lines

What it actually says

This is an attention chain — an INNER template for how to think about something (a scaffold for a section or for your thinking). Not necessarily spoken.

Chain (custom syntax)

[Stop] ⇒ [Fingerprint] ⇒ |Sealed|

How to use it

Attention chain — loop-closure-attention-1

Attend, in order:

  1. Stop
  2. Fingerprint Hold: Sealed ← converge attention here, then act

(leaf — this is an actual skill.)

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. 10d ago First seen · 21 lines · 18 tokens per session scan A da7cb8e39451

Subscribe to this mod's changes

0.3.1-loop-closure-attention-1 is a skill published in the GitHub repository sancovp/dinf (1 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 161 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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