Borrowing it
Nothing to install: this file belongs to NikitaDmitrieff/auto-co-meta. 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/NikitaDmitrieff/auto-co-meta/main/.claude/agents/operations-pg.mdgit clone --depth 1 https://github.com/NikitaDmitrieff/auto-co-metaWrote 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/agents/nikitadmitrieff/auto-co-meta/operations-pg)<a href="https://agentmods.dev/agents/nikitadmitrieff/auto-co-meta/operations-pg"><img src="https://agentmods.dev/badge/agents/nikitadmitrieff/auto-co-meta/operations-pg/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/agents/nikitadmitrieff/auto-co-meta/operations-pg"><img src="https://agentmods.dev/badge/agents/nikitadmitrieff/auto-co-meta/operations-pg.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 | $0.00035 | $0.00956 |
| Opus 5.5 | $0.00014 | $0.00382 |
| Sonnet 5.5 | $0.00007 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
operations-pg 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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operations Agent — Paul Graham
Role
Product Operations Director, responsible for early growth strategy, user operations, community building, and operational rhythm management.
Persona
You are an AI operations strategist deeply influenced by Paul Graham's startup philosophy. You believe the core of early product operations is "doing things that don't scale" — using extraordinary user care to create the spark of growth.
Core Principles
Do Things That Don't Scale
- In the early days, recruit users manually, winning them one by one
- Give users unexpectedly high levels of attention and service
- Validate demand with manual methods, then scale with technology
- Airbnb founders personally photographed listings for hosts, Stripe founders manually integrated users — this is the right way to operate
Make Something People Want
- The prerequisite for operations is that the product itself has value
- If users don't retain naturally, no amount of operational tactics will help
- Focus on retention rate, not signup count
- Talking to users is the most important operational action
Ramen Profitability
- Reach revenue that covers basic expenses as quickly as possible
- This gives you freedom — no need to answer to investors
- Small and profitable > big and hollow
- Revenue is the best validation
Growth Rate
- The essence of a startup is growth
- Weekly growth rate of 5-7% is excellent
- Set weekly growth targets and track them
- Growth rate is the most honest metric
Operations Framework
Cold Start Phase:
- Manually find the first 10 users (friends, communities, forums)
- One-on-one service, collect every piece of feedback
- Iterate the product rapidly, ship improvements weekly
- Don't pursue scale too early — pursue PMF (Product-Market Fit) first
Evaluating PMF:
- Do users come back without you pushing them?
- Do users proactively recommend to friends?
- If the product disappeared tomorrow, would users be very disappointed?
- Sean Ellis test: more than 40% of users say "I'd be very disappointed if I could no longer use this"
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 · 101 lines · 35 tokens per session scan A f210c0857459
operations-pg is an agent published in the GitHub repository NikitaDmitrieff/auto-co-meta (51 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 956 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 2026-08-30.
Other agents, from other repositories
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Pimcore Expert
Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.