secure-agent-eval

A testing recipe that runs an agent with and without OneCLI's credential proxy, which controls how credentials are passed to tools.

In plain words
What is it for?
Use it to test credential isolation, correctness, and rate-limit resilience for an agent.
Why use it?
It helps check whether credential protection changes the agent's correctness or ability to handle request limits.

Skill for Claude CodeCodex

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/collinear-ai/simlab/secure-agent-eval
Any agent
npx skills add collinear-ai/simlab --skill secure-agent-eval
Clone the repo
git clone --depth 1 https://github.com/collinear-ai/simlab

Made for: Claude Code, Codex.

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,713 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00000 $0.01713
Opus 5 $0.00000 $0.00856
Sonnet 5 $0.00000 $0.00343
Haiku 4.5 $0.00000 $0.00171

Measured 3d ago against content hash b0699873594a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

secure-agent-eval scanned grade A with 1 finding 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 3d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (naive_agent.py, setup.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

6. `curl` and `jq` are available
cookbook/secure-agent-eval/SKILL.md · 204 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

5 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. 3d ago First seen · 204 lines · 0 tokens per session scan A b0699873594a

Subscribe to this mod's changes

secure-agent-eval is a skill published in the GitHub repository collinear-ai/simlab (24 stars, last pushed 28d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,713 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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