ai-note

ai-note is a skill for Claude Code, Codex from arcasilesgroup/ai-engineering. It costs 146 tokens per session (1,574 once invoked), scanned A, original, Apache-2.0.

A committed Markdown note for recording difficult, non-obvious software findings, including the evidence, affected files, and conditions that may make the note outdated.

In plain words
What is it for?
Use it to record unexpected behavior, integration traps, workarounds, and the evidence needed to re-check them.
Why use it?
It preserves discoveries that took significant time to understand and makes them easier to search and check later.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to record unexpected behavior, integration traps, workarounds, and the evidence needed to re-check them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arcasilesgroup/ai-engineering/ai-note
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 arcasilesgroup/ai-engineering --skill ai-note
Clone the repo
git clone --depth 1 https://github.com/arcasilesgroup/ai-engineering

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 ai-note

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-note/github.svg)](https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-note)
Your own site
<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-note"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-note/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 ai-note

Your own site · 80×15
<a href="https://agentmods.dev/skills/arcasilesgroup/ai-engineering/ai-note"><img src="https://agentmods.dev/badge/skills/arcasilesgroup/ai-engineering/ai-note.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,574 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 $0.00146 $0.01574
Opus 5.5 $0.00058 $0.00630
Sonnet 5.5 $0.00029 $0.00315
Haiku 4.5 $0.00015 $0.00157

Measured 27d ago against content hash ce9bbc7177e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-note 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 27d 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.

skills/ai-note/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ai-note — save what it cost you to find out

What it produces

A block in the repository's DECISIONS.md. One decision, one ## D-NNN block, with the sections below. Or, when the finding belongs in the docs, prose handed to ai-write. This skill creates no file of its own.

Steps

  1. The bar is thirty minutes. If it took less than that to work out, it will take less than that again, and a note about it is noise that hides the ones that matter.

  2. Append one block. Do not rewrite an older block. The heading is the id the git floor counts:

    ## D-NNN: <what we do, in one line>
    
    Status: Accepted · Date: YYYY-MM-DD
    
    ### Context
    
    What forced the choice. Include `found`, `commit`, the files it describes, and `still_true_when`, so a later reader can tell if it rotted.
    
    ### Decision
    
    What we do, specific enough to check in the code.
    
    ### Consequences
    
    - What this makes easy
    - What this rules out
    
    ### Alternatives considered
    
    - **<Option>:** why not
    
  3. The Decision is the value. Context is why anybody will believe it.

  4. Point at the evidence. The command you ran, its output, the line in the vendor's source. A note whose claim cannot be re-checked becomes folklore within a quarter.

  5. If the note is a workaround, say what would remove the need for it, and where that fix would live — upstream, in our code, or in a decision somebody has to make.

  6. Searching: git grep over DECISIONS.md is the whole query engine, and it is enough at this size. Read the header of anything you find and check still_true_when before you act on it.

  7. When a note stops being true, delete it in a commit that says why. A wrong note is worse than no note, because it is trusted.

  8. Persistence beyond this repository is not this skill's work and not this framework's. The note is committed markdown in the user's own repository, which is where it can be reviewed, dated and deleted; whatever memory system the host provides keeps its own copy on its own terms. A learning store inside the framework would be a second source of truth for something git already versions, and the second one is always the stale one.

Read the full file on GitHub · 134 lines

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. 27d ago Changed · +11 lines · +2 tokens per session ce9bbc7177e4
  2. 1mo ago Changed 2de669eed37e
  3. 1mo ago Changed af40e585e516
  4. 1mo ago Changed · +60 lines · +8 tokens per session d9cd9f4192b0
  5. 1mo ago First seen · 63 lines · 136 tokens per session scan A f5858ebf1b4c

Subscribe to this mod's changes

ai-note is a skill published in the GitHub repository arcasilesgroup/ai-engineering (61 stars, last pushed 5d ago), licensed Apache-2.0. It adds 146 tokens to every session and 1,574 once invoked, about $0.0006 per session on Opus 5.5. 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 skills, from other repositories

spec-kitty-charter-doctrine

Run charter interview, generation, context, and sync workflows for project governance in Spec Kitty 3.x. Access doctrine artifacts programmatically via DoctrineService. Resolve agent profiles. Load action-scoped governance context iteratively, not all at once. Triggers: "interview for charter", "generate charter"…

Priivacy-ai/spec-kitty · 135 tokens

322-frameworks-spring-boot-testing-integration-tests

Use when you need to write or improve integration tests — including Testcontainers with @ServiceConnection, @DataJdbcTest persistence slices, TestRestTemplate or MockMvcTester for HTTP, data isolation, and container lifecycle management for Spring Boot 4.0.x. This should trigger for requests such as Review Java code…

jabrena/plinth · 123 tokens

314-frameworks-spring-kafka

Use when you need to design or implement Kafka messaging in Spring Boot — including topic design, producer/consumer implementation, JSON serialization with Boot factory customizers, Testcontainers @ServiceConnection integration tests, retries and dead-letter topics, idempotency, and error handling. This should trigger…

jabrena/plinth · 112 tokens

setup-husky-dotnet

Use when configuring Git hooks in .NET projects before team commits occur, to enforce commit message standards and code formatting automatically.

SebastienDegodez/copilot-instructions · 30 tokens

vibeflow-stats

Compiles statistics from audit reports: PASS/PARTIAL/FAIL rates, most violated patterns, most failing DoD checks, and quality trends. Use after running several audits to spot improvement areas.

pe-menezes/vibeflow · 46 tokens

apex-azure-deploy

WORKFLOW SKILL — Execute Azure deployments (azd up, azd deploy, terraform apply) for already-prepared apps with built-in error recovery. WHEN: 'run azd up', 'run azd deploy', 'push to production', 'go live', 'bicep deploy', 'terraform apply', 'publish to Azure'. DO NOT USE FOR: creating new apps (apex-azure-prepare)…

jonathan-vella/apex-accelerator · 106 tokens