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 julianobarbosa/claude-code-skills --skill repo-to-gemgit clone --depth 1 https://github.com/julianobarbosa/claude-code-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/skills/julianobarbosa/claude-code-skills/repo-to-gem)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/repo-to-gem"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/repo-to-gem/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/julianobarbosa/claude-code-skills/repo-to-gem"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/repo-to-gem.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 | $0.00180 | $0.02941 |
| Opus 5.5 | $0.00072 | $0.01176 |
| Sonnet 5.5 | $0.00036 | $0.00588 |
| Haiku 4.5 | $0.00018 | $0.00294 |
Grade A, and why
repo-to-gem 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 23d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repo to Gem
Build the three things a person needs to create a Gemini Gem that is an expert on one repository, so that they can upload and paste without editing anything.
What you deliver
One folder, gem-<slug>/ in the current directory unless the user names another place:
gem-<slug>/
├── knowledge/
│ └── <slug>-knowledge.txt # or <slug>-knowledge.1.txt, .2.txt ... when split
├── gem-instructions.md # paste into the Gem's Instructions box
└── gem-setup.md # name, description, upload list, test prompts, refresh command
The Gem needs a display name and a slug. Take the name from the user; if they gave none, build it from the repo plus the last path segment that says what the content is (yamadashy/repomix at website/client/src/en/guide -> "Repomix Guide"). <slug> is that name in kebab-case (repomix-guide).
The limits you are packing for
These come from Google's help pages and drift over time, so re-check Upload & analyze files in Gemini Apps when a number matters to the outcome.
| Limit | Value | Status |
|---|---|---|
| Knowledge files per Gem | 10 | reported limit |
| Size per file | 100 MB | from the help page |
| Model context window | 1M tokens | from the help page |
| Total knowledge you should aim for | about 500k tokens | heuristic, not a Google limit |
The 500k target is a working budget: the knowledge shares the context window with the instructions and the whole conversation, and a Gem that starts half full answers long threads badly. Go over it when the user has a reason, and say that you did.
Token counts come from repomix, which counts with an OpenAI tokenizer. Treat them as an estimate for Gemini, good to within a comfortable margin, not a measurement.
Write knowledge as .txt. Plain text is on every list of accepted Gem file types; .md and .xml are not reliably on them. The content inside can still be Markdown.
Step 1: Pin down the source
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.
- 23d ago Changed · +149 lines · +143 tokens per session b610dc1284df
- 25d ago First seen · 76 lines · 37 tokens per session scan A 976dc56600fb
repo-to-gem is a skill published in the GitHub repository julianobarbosa/claude-code-skills (14 stars, last pushed 11d ago), licensed MIT. It adds 180 tokens to every session and 2,941 once invoked, about $0.0007 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 2026-10-01.
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