A default workflow for the dinf system that moves from framing a task, through searching and deciding, to constructing or executing a thinking chain and recording the result.

It helps search a local knowledge base, choose or build an attention chain, run it, and save a graded note for future work.

It gives dinf tasks a repeatable process for finding an existing method, creating one when needed, and learning from the outcome.

dinf-loop — Skill by sancovp

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.

agentmods

npx agentmods add skills/sancovp/dinf/loop

Any agent

npx skills add sancovp/dinf --skill loop

Clone the repo

git clone --depth 1 https://github.com/sancovp/dinf

Made for: Claude Code, Codex.

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 247 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00017	$0.00247
Opus 5	$0.00009	$0.00123
Sonnet 5	$0.00003	$0.00049
Haiku 4.5	$0.00002	$0.00025

Measured yesterday against content hash 0c394e257f2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dinf-loop 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 yesterday.

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

1 near-identical copy found in the catalogue:

0.2-dinf-loop — 92% identical, 6 lines differ

.aios.src/loop/SKILL.md · 14 lines

What it actually says

This is your default workflow for dinf — the BanditChain. Walk it on every task; it is a flow, not a function.

Task — frame what's being asked.
Recall = Select (search → neural-match) — chaincompiler gba search <this-dir> "<query>" (--scope <coord> to look only in your region; --newest for the latest versions). Read the hits and intuitively pick the best fit.
Decide — a fit → exec it. Nothing fits → construct.
Construct — chaincompiler gba construct <this-dir> <name> "[Focus] ⇒ [Focus] ⇒ |Converge|" (gated + coord-addressed + re-indexed; follow the adding-a-skill discipline — place it, AIOS it).
Execute — run the chosen/built chain.
Reward — write a graded note to kb/. Your KB + tree ARE your policy.

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.

yesterday First seen · 14 lines · 17 tokens per session scan A 0c394e257f2d

Subscribe to this mod's changes

dinf-loop is a skill published in the GitHub repository sancovp/dinf (1 stars, last pushed 24d ago), licensed MIT. It adds 17 tokens to every session and 247 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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