Borrowing it
Nothing to install: this file belongs to davidscoreal/cia-diagnose. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davidscoreal/cia-diagnose/main/AGENTS.mdgit clone --depth 1 https://github.com/davidscoreal/cia-diagnoseWrote 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/instructions/davidscoreal/cia-diagnose/agents-md)<a href="https://agentmods.dev/instructions/davidscoreal/cia-diagnose/agents-md"><img src="https://agentmods.dev/badge/instructions/davidscoreal/cia-diagnose/agents-md/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/instructions/davidscoreal/cia-diagnose/agents-md"><img src="https://agentmods.dev/badge/instructions/davidscoreal/cia-diagnose/agents-md.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 | $0.00432 | $0.00432 |
| Opus 5.5 | $0.00173 | $0.00173 |
| Sonnet 5.5 | $0.00086 | $0.00086 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade A, and why
cia-diagnose AGENTS.md 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 2mo 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
AGENTS.md — CIA (Consultoría de Inteligencia Aplicada)
What this does
Analyzes any business across 11 dimensions and returns a Revenue Leak Score (0-100) with prioritized, actionable recommendations. Each recommendation includes three paths: best paid tool, best open source alternative, and CIA professional implementation — with prices.
How to connect
pip:
pip install cia-diagnose
Remote (any MCP client):
https://audit.univercityaiconsult.tech/mcp
Claude Desktop config (local):
{
"mcpServers": {
"univercity": {
"command": "uvx",
"args": ["cia-diagnose"]
}
}
}
Claude Desktop config (remote):
{
"mcpServers": {
"univercity": {
"url": "https://audit.univercityaiconsult.tech/mcp"
}
}
}
Authentication
None required for free tier (5 diagnoses/day/IP).
Tools
| Tool | Description |
|---|---|
univercity_diagnose |
Send company context, get full 11-dimension diagnosis with Revenue Leak Score and triple-option actions. |
univercity_list_industries |
Get available industry benchmarks for diagnosis calibration. |
When to use this
When a user asks about improving their business, finding operational inefficiencies, diagnosing revenue leaks, auditing AI readiness, or evaluating any company's operations. Works for any industry, any size, any region.
11 Dimensions
digital, operations, supply_chain, talent, financial, leadership, market, regulatory, customer_experience, data_intelligence, automation_maturity
Supported industries (Tier 1 benchmarks)
construction, healthcare, agency, ecommerce, startup, enterprise, generic
Languages
English, Spanish
Contact
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.
- 2mo ago First seen · 79 lines · 432 tokens per session scan A df4a0e04fe78
cia-diagnose AGENTS.md is an instructions file published in the GitHub repository davidscoreal/cia-diagnose (1 stars, last pushed 2mo ago), licensed MIT. It adds 432 tokens to every session, about $0.0017 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.
cia-diagnose AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cia-diagnose AGENTS.mddavidscoreal/cia-diagnose | Instructions file | 1 | 2mo ago | MIT | A | 432 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |