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.
git clone --depth 1 https://github.com/engindemirog/ai-native-engineering-workspaceWrote 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.
[](https://agentmods.dev/commands/engindemirog/ai-native-engineering-workspace/plan)<a href="https://agentmods.dev/commands/engindemirog/ai-native-engineering-workspace/plan"><img src="https://agentmods.dev/badge/commands/engindemirog/ai-native-engineering-workspace/plan/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.
<a href="https://agentmods.dev/commands/engindemirog/ai-native-engineering-workspace/plan"><img src="https://agentmods.dev/badge/commands/engindemirog/ai-native-engineering-workspace/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00145 |
| Opus 5.5 | $0.00007 | $0.00058 |
| Sonnet 5.5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
plan 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 22d 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.
What it actually says
Read AGENTS.md, docs/roles/developer.md, and workflows/segments.md. Run the PLAN segment for spec $ARGUMENTS.
Entry check first: refuse with the segment's exact message unless specs/active/$ARGUMENTS-*.md says "Status: Approved". Then prompts/plan.md, the plan approval gate, record "Approved by / on: , " in specs/plans/$ARGUMENTS-plan.md, write the handoff, STOP. Write no code; never start the build.
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.
- 22d ago First seen · 12 lines · 18 tokens per session scan A 01e1bd6c6579
plan is a command published in the GitHub repository engindemirog/ai-native-engineering-workspace (87 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 145 once invoked, about $0.0001 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 2026-09-26.
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