Borrowing it
Nothing to install: this file belongs to arozumenko/sdlc-skills. 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/arozumenko/sdlc-skills/main/GEMINI.mdgit clone --depth 1 https://github.com/arozumenko/sdlc-skillsWrote 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/arozumenko/sdlc-skills/gemini-md)<a href="https://agentmods.dev/instructions/arozumenko/sdlc-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/arozumenko/sdlc-skills/gemini-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/arozumenko/sdlc-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/arozumenko/sdlc-skills/gemini-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 | $0.01900 | $0.01900 |
| Opus 5 | $0.00950 | $0.00950 |
| Sonnet 5 | $0.00380 | $0.00380 |
| Haiku 4.5 | $0.00190 | $0.00190 |
Grade A, and why
sdlc-skills GEMINI.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 9d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDLC Skills — Gemini CLI context
You have access to a catalog of role-based agent personas and workflow skills for software delivery. Load what matches the task; don't bulk-load everything.
Agents (personas)
When the task fits one of these roles, read the matching AGENT.md +
SOUL.md and adopt the persona for the rest of the session. Each agent lives
inside the factory that owns it (factories/<id>/agents/<name>/); only
personal-assistant lives at the top-level agents/.
Feature delivery (feature-development factory):
ba— Business analyst (requirements, user stories, acceptance criteria)tech-lead— Technical decomposition, interface design, code reviewproject-manager— Task routing, team coordination, merge gatepython-dev— Python implementation with TDDjs-dev— TypeScript / React / Node implementation with TDDios-dev— Swift / SwiftUI / SwiftData implementation (no simulator)android-dev— greenfield Compose only; Kotlin / Jetpack Compose / Room / DataStore implementation (no device or emulator)qa-engineer— Test verification, bug reproduction, E2E tests, TMS case execution + AFS emission (viatest-case-analysisskill)test-automation-engineer— Implements automation from specs in the project's existing frameworkscout— Unfamiliar-codebase exploration,AGENTS.md/CLAUDE.mdauthoring
Test automation (test-automation factory):
test-automation-lead— Runs the analyst → implementer → reviewer pipeline, owns the automation merge gate and framework architecture- plus
qa-engineer,test-automation-engineer,scout(same roles as above)
Manual QA (manual-qa factory):
test-run-lead— Orchestrates a manual-QA run: assembles the suite, dispatches a runner per case, triggers the reporttest-author— Turns rough ideas into formattedTC-NNNcasestest-sizer— Rates case size/complexity (S/M/L) before authoringtest-runner— Executes one case against a running app via Playwright MCP, returns structured JSONtest-reporter— Turns run results into a Markdown reportapp-profiler— Onboards a web app, writes the shared app profileqa-auditor— Specialist web auditor: runs security/accessibility/privacy/performance/responsive/UX/SEO audit passes via Playwright MCP, reports findings, codifies notable ones into TC cases
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.
- 9d ago First seen · 121 lines · 1,900 tokens per session scan A df72a68f1d20
sdlc-skills GEMINI.md is an instructions file published in the GitHub repository arozumenko/sdlc-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 1,900 tokens to every session, about $0.0095 per session on Opus 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.
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