review-alloy-operations

review-alloy-operations is a skill for Claude Code, Codex from Alloy-Systems/work-with-alloy. It costs 47 tokens per session (722 once invoked), scanned A, original, Apache-2.0.

An operational review guide for Alloy, a system for running AI teammates, workflows, shared instructions, and tool connections. It examines setup and activity across an Alloy organisation.

In plain words
What is it for?
Use it for organisation audits, teammate and workflow reviews, MCP connection reviews, run-log analysis, and operational recommendations.
Why use it?
It helps find configuration problems, unusual activity, and ways the organisation could be arranged better. It also gives a structured way to review what happened during a chosen time period.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents.

Part of the work-with-alloy plugin — 2 skills, 1 MCP server shipped together

Good fit Use it for organisation audits, teammate and workflow reviews, MCP connection reviews, run-log analysis, and operational recommendations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alloy-systems/work-with-alloy/review-alloy-operations
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 Alloy-Systems/work-with-alloy --skill review-alloy-operations
Clone the repo
git clone --depth 1 https://github.com/Alloy-Systems/work-with-alloy

Made for: Claude Code, Codex.

Or install work-with-alloy, the plugin that ships this one along with the rest of its 2 skills, 1 MCP server.

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 review-alloy-operations

README.md
[![agentmods](https://agentmods.dev/badge/skills/alloy-systems/work-with-alloy/review-alloy-operations/github.svg)](https://agentmods.dev/skills/alloy-systems/work-with-alloy/review-alloy-operations)
Your own site
<a href="https://agentmods.dev/skills/alloy-systems/work-with-alloy/review-alloy-operations"><img src="https://agentmods.dev/badge/skills/alloy-systems/work-with-alloy/review-alloy-operations/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 review-alloy-operations

Your own site · 80×15
<a href="https://agentmods.dev/skills/alloy-systems/work-with-alloy/review-alloy-operations"><img src="https://agentmods.dev/badge/skills/alloy-systems/work-with-alloy/review-alloy-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 722 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 $0.00047 $0.00722
Opus 5 $0.00023 $0.00361
Sonnet 5 $0.00009 $0.00144
Haiku 4.5 $0.00005 $0.00072

Measured 11d ago against content hash 0c3a1b463d29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-alloy-operations 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.

skills/review-alloy-operations/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Alloy Operations

Use this skill together with work-with-alloy.

This skill is for operational reviews of an Alloy org: teammates, instruction skills, workflows, MCP setup, recent activity, run evidence, and optimization opportunities.

When to Use

Use this when the user wants any of the following:

  • an org audit of AI teammates, instruction skills, workflows, or MCPs
  • a review of what happened over a date range
  • a review of teammate or workflow configuration quality
  • a review of run logs or operational patterns
  • optimization recommendations for how the org is set up

Do not use this for normal one-off teammate creation, small workflow edits, or ordinary Storage note work.

Required references

Before starting, read:

  • ../work-with-alloy/references/teammates-and-workflows.md
  • ../work-with-alloy/references/skills.md when reviewing shared instruction skills
  • ../work-with-alloy/references/workflows.md
  • ../work-with-alloy/references/multi-agent.md when delegation is needed
  • references/operational-review-pattern.md

Use references/review-note-template.md for per-object notes.

Scope gate

Before starting the review, determine the review scope:

  • full org review
  • subset review

If the user does not specify, ask which they want.

If subset review, clarify the minimum needed scope:

  • which teammates, instruction skills, workflows, MCPs, or areas
  • date range
  • whether the focus is configuration, run evidence, optimization, or all of them

Review flow

  1. Confirm scope:
    • full org review or subset review
    • exact objects and date range when the scope is partial
  2. Build the audit surface:
    • active AI teammates only
    • current org and teammate-assigned workflows
    • shared instruction skills under .skills when they are in scope
    • MCP servers
  3. Exclude soft-deleted objects.
  4. Treat workflow-list results only as candidates. Verify existence, readability, and ownership: employee_id = null means organization-owned; a populated employee_id means teammate-assigned. Reconcile with the UI when needed.
  5. If the task is broad and subagents are available, fan out one subagent per teammate, workflow, or instruction skill in scope. Keep each subagent narrow and require it to write its note before returning.
  6. Review runs selectively. Start with run lists, then inspect only failed, high-volume, suspicious, long-running, or representative successful runs.
  7. Exclude clear internal testing from production conclusions, but still note real config or safety issues exposed by those runs.
  8. Synthesize both:
    • per-object findings
    • cross-cutting findings

Read the full file on GitHub · 82 lines

Files

What ships with it

4 files 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 · 82 lines · 47 tokens per session scan A 0c3a1b463d29

Subscribe to this mod's changes

review-alloy-operations is a skill published in the GitHub repository Alloy-Systems/work-with-alloy (1 stars, last pushed 12d ago), licensed Apache-2.0. It adds 47 tokens to every session and 722 once invoked, about $0.0002 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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