aim-secret-management

aim-secret-management is a skill for Claude Code from 23blocks-OS/ai-maestro-plugins. It costs 82 tokens per session (687 once invoked), scanned A, original, MIT.

A way to use API keys, access tokens, and passwords without exposing their values to the coding agent or chat transcript. Secrets are stored in a local vault and supplied only to the command that needs them.

In plain words
What is it for?
Use it to request a missing credential, run scripts with selected secrets, or connect commands to services such as OpenAI or AWS without revealing the secret value.
Why use it?
It reduces the risk of credentials being copied into source code, logs, conversation history, or the agent's memory.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Part of the ai-maestro plugin — 14 skills, 3 hooks shipped together

Good fit Use it to request a missing credential, run scripts with selected secrets, or connect commands to services such as OpenAI or AWS without revealing the secret value.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/23blocks-os/ai-maestro-plugins/aim-secret-management
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 23blocks-OS/ai-maestro-plugins --skill aim-secret-management
Clone the repo
git clone --depth 1 https://github.com/23blocks-OS/ai-maestro-plugins

Made for: Claude Code.

Or install ai-maestro, the plugin that ships this one along with the rest of its 14 skills, 3 hooks.

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 aim-secret-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/23blocks-os/ai-maestro-plugins/aim-secret-management/github.svg)](https://agentmods.dev/skills/23blocks-os/ai-maestro-plugins/aim-secret-management)
Your own site
<a href="https://agentmods.dev/skills/23blocks-os/ai-maestro-plugins/aim-secret-management"><img src="https://agentmods.dev/badge/skills/23blocks-os/ai-maestro-plugins/aim-secret-management/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 aim-secret-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/23blocks-os/ai-maestro-plugins/aim-secret-management"><img src="https://agentmods.dev/badge/skills/23blocks-os/ai-maestro-plugins/aim-secret-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 687 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 $0.00082 $0.00687
Opus 5.5 $0.00033 $0.00275
Sonnet 5.5 $0.00016 $0.00137
Haiku 4.5 $0.00008 $0.00069

Measured 9d ago against content hash 84b39125123b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aim-secret-management 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 9d 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.

plugins/ai-maestro/skills/aim-secret-management/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Credentials without seeing them

Secrets live in a local vault, by name. You use them by name and never receive the value, so it stays out of the model, the transcript and your memory.

Ask for one

aim-secret has OPENAI_API_KEY || aim-secret request OPENAI_API_KEY --note "for the embedding job"

request returns at once. The user gets a card in the AI Maestro chat with the name filled in and a masked field (in Claude Code with the secrets mod, the request_secret tool opens a form in the terminal instead). End your turn after calling it: you get a message when the value is stored or declined. If it is declined, carry on without it and do not ask again unless you cannot go on.

Use it

aim-secret exec --use OPENAI_API_KEY -- python embed.py
aim-secret exec --use AWS_ACCESS_KEY_ID --use AWS_SECRET_ACCESS_KEY -- aws s3 ls
aim-secret exec --use MY_KEY_NAME=OPENAI_API_KEY -- node job.js

The value is placed in that one command's environment. Anything the command prints has it replaced by [secret:NAME], which is correct. The last form maps the secret OPENAI_API_KEY to the environment variable MY_KEY_NAME.

Names

Capital letters, digits and underscores, starting with a letter, using the provider's usual variable name (OPENAI_API_KEY, GITHUB_TOKEN). aim-secret list prints names only. Reuse an existing name rather than adding a second one for the same credential.

If a value shows up in the conversation

The user pasted a key or password, or a command printed one. Do not repeat it, copy it into a file or command, or act on it from the chat. Tell the user it is now in the transcript, so it is worth rotating, and run aim-secret request so they can store it properly.

What you do not do

  • Read the vault, Keychain entries or ~/.aimaestro/vault, or print the environment of the command you ran through exec.
  • Write a secret into a file, a commit, a log or a message. Put --use NAME on the command that needs it.
  • Run aim-secret set. It is for the person, at a terminal.

Read the full file on GitHub · 51 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. 9d ago First seen · 51 lines · 82 tokens per session scan A 84b39125123b

Subscribe to this mod's changes

aim-secret-management is a skill published in the GitHub repository 23blocks-OS/ai-maestro-plugins (11 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 687 once invoked, about $0.0003 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 2026-10-11.

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