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.
npx skills add omnigentx/jarvis --skill implementationgit clone --depth 1 https://github.com/omnigentx/jarvisWrote 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/skills/omnigentx/jarvis/implementation)<a href="https://agentmods.dev/skills/omnigentx/jarvis/implementation"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/implementation/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/skills/omnigentx/jarvis/implementation"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00403 |
| Opus 5.5 | $0.00010 | $0.00161 |
| Sonnet 5.5 | $0.00005 | $0.00081 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
implementation 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
Implementation Guide (DEV)
Structured approach to implementing features and bug fixes within a multi-agent team.
Implementation Workflow
1. Understand the Task
- Read the requirements from PM's instructions or meeting context
- Check existing code in the workspace
- Identify affected files and components
2. Plan Before Coding
- Break down the task into small, verifiable steps
- Identify dependencies and potential conflicts
- Determine the simplest approach that meets requirements
3. Implement
- Write clean, self-documenting code
- Follow existing project conventions and patterns
- Keep changes focused — one concern per commit
- Add error handling from the start
4. Verify Your Work
- Run existing tests to check for regressions
- Test your changes manually if applicable
- Ensure code is syntactically correct (no import errors, no typos)
5. Report
- Summarize what you changed and why
- List files modified
- Note any concerns or trade-offs
Code Quality Standards
- Early returns over nested conditions
- Descriptive names — avoid
utils,helpers,misc - Small functions — under 50 lines when possible
- Small files — under 200 lines when possible
- DRY — extract common logic into reusable functions
- Error handling — validate inputs, handle edge cases
- Comments — explain "why", not "what"
In Meeting Context
When working in a meeting:
- Use
filesystemtools to read/write code during your turns - Show concrete changes in your
speak()responses - If QE gives a FAIL verdict, fix the issues immediately using your tools
- Don't just describe what you'll do — actually do it during the meeting
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 · 55 lines · 26 tokens per session scan A 817121083a48
implementation is a skill published in the GitHub repository omnigentx/jarvis (39 stars, last pushed 11d ago), licensed MIT. It adds 26 tokens to every session and 403 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.
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