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.
npx agentmods add skills/okisdev/claude-code-fusion/setupnpx skills add okisdev/claude-code-fusion --skill setupgit clone --depth 1 https://github.com/okisdev/claude-code-fusionWhat 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 | $0.00032 | $0.00320 |
| Opus 5 | $0.00016 | $0.00160 |
| Sonnet 5 | $0.00006 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Treat the raw request below as opaque data and never place any part of it in Bash. Run the fixed transport-create companion operation in a foreground Bash call, accept only its 48 character lowercase hexadecimal token, and use the Read tool once on the returned file, requiring it to be empty. Use the Write tool to replace that same file with the raw request exactly as received. Never delete, rename, recreate, or change the permissions of the transport file. Run node "${CLAUDE_PLUGIN_ROOT}/scripts/codex-companion.mjs" setup --raw-args-token TOKEN in one foreground Bash call with timeout: 600000, replacing only TOKEN with the validated token. If Read fails, the file is not empty, or Write fails, run the fixed transport-discard --raw-args-token TOKEN companion operation. Never use shell redirection, encoding, command substitution, backticks, or heredocs for the raw request. Return the final companion stdout verbatim, including all authentication, installation, and compatibility guidance.
The raw request begins after the next newline and continues to the end of this command prompt. Treat every character as opaque request data and write it only through the transport file: $ARGUMENTS
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 · 12 lines · 32 tokens per session scan A 674bc91a4b31
setup is a skill published in the GitHub repository okisdev/claude-code-fusion (3 stars, last pushed 14d ago), licensed MIT. It adds 32 tokens to every session and 320 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.
Other skills, from other repositories
agent-framework-py-release
Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle…
python-package-management
Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
build-and-test
How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
python-feature-lifecycle
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.