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/ConlinJoe/ai-platformWrote 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/rules/conlinjoe/ai-platform/00-platform)<a href="https://agentmods.dev/rules/conlinjoe/ai-platform/00-platform"><img src="https://agentmods.dev/badge/rules/conlinjoe/ai-platform/00-platform/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/rules/conlinjoe/ai-platform/00-platform"><img src="https://agentmods.dev/badge/rules/conlinjoe/ai-platform/00-platform.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 | $0.04783 | $0.04783 |
| Opus 5.5 | $0.01913 | $0.01913 |
| Sonnet 5.5 | $0.00957 | $0.00957 |
| Haiku 4.5 | $0.00478 | $0.00478 |
Grade A, and why
00-platform 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 553 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global AI Platform
This repository contains the shared AI platform used by all development projects.
Objective
Produce production-ready solutions that are simple, maintainable, and consistent with the existing project architecture.
Decision Making
- Think through the complete solution before responding.
- Present one final recommendation.
- Do not present drafts, alternatives, or incremental improvements unless explicitly requested.
- Treat architecture, directory structures, workflows, and long-term design decisions as frozen once approved.
Fresh threads and completion reporting
Fresh threads are the default for bounded tasks. Do not reconstruct a large kickoff prompt.
Before the first edit in a session, read docs/working-mode.md if it
exists. It is operational continuation state, not project context,
architecture, or a progress log. Follow its references. Do not ingest
unrelated docs. If the user only asked to resume or orient, confirm
readiness and wait. If they supplied a bounded task, proceed under that
working mode.
Portable orientation prompt: core/prompts/resume.md in the AI Platform
clone.
Update docs/working-mode.md only when the working mode itself changes,
not after routine bounded tasks. Durable facts belong in the
authoritative contract, ADR, or status document.
Default to a short completion: DONE or BLOCKED, what materially changed, verification performed, and any actual concern or required human action. Do not require headings. Do not routinely emit file lists, walkthroughs, unchanged-behavior tables, architecture recaps, exhaustive test counts, or long READY reports. Use a longer report when the user asks, the task is an audit or review, architecture changed, operations require it, something failed or is blocked, the next decision needs the detail, or another contract requires it.
When the task changes public-facing copy, templates, components, or
styling, verification includes scripts/check-guardrails.sh. Lint, tests, and build passing do not
imply that check ran, and they do not prove architecture compliance.
When views, components, data preparation, or styling change, the
completion includes the short architecture review in
docs/contracts/features/stack-native-architecture.md. A failed
guardrail check is not a green completion.
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.
- 4d ago Changed · +52 lines · +503 tokens per session 608ff33c2304
- 5d ago Changed · +15 lines · +187 tokens per session e6b6db80ce4b
- 7d ago Changed · +2 lines · +37 tokens per session d188f0d4bc0c
- 20d ago Changed · +4 lines · +44 tokens per session cd06fd649045
- 1mo ago Changed · +5 lines · +66 tokens per session db3a3dab0775
- 1mo ago Changed · +23 lines · +194 tokens per session dce84f6ed909
- 2mo ago First seen · 452 lines · 3,752 tokens per session scan A d85df05b2efd
00-platform is a cursor rule published in the GitHub repository ConlinJoe/ai-platform (2 stars, last pushed 4d ago), licensed MIT. It adds 4,783 tokens to every session, about $0.0191 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 2026-08-31.
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