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/TierZeroAI/tierzero-cursorWrote 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/tierzeroai/tierzero-cursor/investigate)<a href="https://agentmods.dev/commands/tierzeroai/tierzero-cursor/investigate"><img src="https://agentmods.dev/badge/commands/tierzeroai/tierzero-cursor/investigate/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/tierzeroai/tierzero-cursor/investigate"><img src="https://agentmods.dev/badge/commands/tierzeroai/tierzero-cursor/investigate.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 | $0.00026 | $0.00311 |
| Opus 5.5 | $0.00010 | $0.00124 |
| Sonnet 5.5 | $0.00005 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
investigate 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 1mo 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
/investigate
Run a TierZero investigation against connected production systems.
The arguments after /investigate are the user's natural-language query.
Steps
- Treat everything the user typed after
/investigateas the investigationquery. - If the query is empty, ask the user what they want to investigate, then stop.
- Call the
tierzero_asktool on thetierzeroMCP server with that query as thequeryargument. - Wait for the response, then summarize the findings tied to the user's current work.
- Surface any TierZero investigation URL returned in the result so the user can drill in.
- If the call fails with an authentication error, tell the user to open Cursor Settings → MCP → tierzero and click Authorize (or re-authorize), then retry.
Tips for a good query
- Name the service or component, not "the API"
- Include a time window ("last hour", "since the 13:42 UTC deploy")
- State the symptom (errors, latency, drop in traffic)
Examples
/investigate what errors hit payment-service in the last hour?/investigate p95 latency for /api/checkout over the last 24h, flag anomalies/investigate did any github actions runs for the api repo fail today?
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.
- 1mo ago First seen · 32 lines · 26 tokens per session scan A 2e1ac694b559
investigate is a command published in the GitHub repository TierZeroAI/tierzero-cursor (0 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 311 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 2026-08-31.
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