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/ProductionMasterAI/production-masterWrote 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/productionmasterai/production-master/investigate)<a href="https://agentmods.dev/commands/productionmasterai/production-master/investigate"><img src="https://agentmods.dev/badge/commands/productionmasterai/production-master/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/productionmasterai/production-master/investigate"><img src="https://agentmods.dev/badge/commands/productionmasterai/production-master/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 | $0.00021 | $0.00404 |
| Opus 5.5 | $0.00008 | $0.00162 |
| Sonnet 5.5 | $0.00004 | $0.00081 |
| Haiku 4.5 | $0.00002 | $0.00040 |
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 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.
What it actually says
Start a Production Master investigation for: $ARGUMENTS
The run executes entirely on the Production Master hosted service. You only
relay the request and the results through the plugin's production-master MCP
server — do no analysis of your own and do not read the user's code for it.
- Call
mcp__plugin_production-master_production-master__start_investigationwithinputset to the text above. If the argument is empty, ask the user for a ticket key or a bug description first. - Tell the user the returned
investigationIdand console link. - Follow progress with
mcp__plugin_production-master_production-master__get_investigation, passinginvestigationIdand thecursorfrom the previous response. After each call, summarise only what is new (phase changes, findings, proposed actions) in a line or two. Stop when the response reports the run is done, or when it asks for a decision. - When the run is done, call
mcp__plugin_production-master_production-master__get_reportand present the report. - If a step proposes an action, show it to the user and wait for their answer.
Never approve or reject on their behalf — they decide on the
investigation's page in the Production Master console (the console link
from step 2).
/production-master:updatecan list what is waiting.
If a call fails with an authentication error, the access token is missing,
expired or revoked: tell the user to run /production-master:setup. Report any
other error as it was returned — never present a failed call as an empty result.
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 · +16 lines · -3 tokens per session 2a746f691ffc
- 9d ago Changed · -5 lines 9cf2afb8aa3c
- 2mo ago First seen · 22 lines · 24 tokens per session scan A 7ffca27fac12
investigate is a command published in the GitHub repository ProductionMasterAI/production-master (2 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 404 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.
investigate compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| investigateProductionMasterAI/production-master | Command | 2 | 3d ago | MIT | A | 21 | Claude Code |
| api-mockwshobson/agents | Command | 43k | 6d ago | MIT | A | 19 | Claude Code |
| initfcakyon/claude-codex-settings | Command | 1.2k | today | Apache-2.0 | A | 0 | Claude Code |
| api-contract-reviewMozurok/fhorja.dev | Command | 10 | 1mo ago | MIT | A | 64 | Claude Code |
| pn-audit-dataperniemann/pnCore | Command | 0 | 6d ago | MIT | A | 42 | Claude Code, Cursor |
| start-10-1minicoohei/ai-agent-camp | Command | 349 | 1mo ago | none | A | 2 | Claude Code |
| design-api-integrationAmey-Thakur/AI-SKILLS | Command | 14 | 2mo ago | MIT | A | 16 | Claude Code |