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/fledgeling-co/fledgeling-pluginsWrote 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/plugins/fledgeling-co/fledgeling-plugins/geminify)<a href="https://agentmods.dev/plugins/fledgeling-co/fledgeling-plugins/geminify"><img src="https://agentmods.dev/badge/plugins/fledgeling-co/fledgeling-plugins/geminify/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/plugins/fledgeling-co/fledgeling-plugins/geminify"><img src="https://agentmods.dev/badge/plugins/fledgeling-co/fledgeling-plugins/geminify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
geminify 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
{
"name": "geminify",
"description": "Two modes. Mode A adds a Gemini-calibrated `gemini.md` to an existing skill, so the same skill works on Google's models as well as Claude's: reads the target, scans it for the unbounded scopes and assumed verification that Gemini handles differently, assembles the file from a shared core plus only the modules the skill's own subject matter earns, tags every claim by how strong its evidence actually is, gates the result by checking each quoted vendor sentence appears verbatim in Google's published guidance, then installs the conditional pointer and bumps the version. Mode B calibrates the session the runner is already in, when a Gemini model is serving it and no target is named: `session_calibrate.py` reports which loaded skills ship a `gemini.md`, which source names have an invalid namespace or are unpublished by their marketplace and may fail at runtime, and which referral lanes are out-of-family for the serving model, then the runner posts a receipt ledger where a Skill tool call discharges a row and conforming output does not. Use whenever someone wants a skill to work on Gemini — \"geminify design-craft\", \"add Gemini support to this skill\", \"make this skill work in Antigravity\", \"write a gemini.md for X\", \"/geminify:geminify\" — whenever a skill produced weak output under a Gemini model and the skill itself is not at fault, and whenever a session is served by a Gemini-family model and should apply the overrides to the skills it has loaded. NOT for fixing a skill that is broken for every model (use improve-skill:improve-skill), and NOT for authoring a new skill (use create-skill:create-skill).",
"version": "0.6.1",
"author": {
"name": "Fledgeling",
"email": "[email protected]"
}
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 350 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 Changed 48e721a6256d
- 1mo ago Changed 5e57bdbef784
- 1mo ago Changed 7723ec79f22b
- 1mo ago First seen · 10 lines scan A e3f6a08670a6
geminify is a plugin published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
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