Borrowing it
Nothing to install: this file belongs to mattpicone/upgradelens. 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/mattpicone/upgradelens/main/GEMINI.mdgit clone --depth 1 https://github.com/mattpicone/upgradelensWrote 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/mattpicone/upgradelens/gemini-md)<a href="https://agentmods.dev/instructions/mattpicone/upgradelens/gemini-md"><img src="https://agentmods.dev/badge/instructions/mattpicone/upgradelens/gemini-md.svg" alt="Measured on agentmods" 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 | $0.00154 | $0.00154 |
| Opus 5 | $0.00077 | $0.00077 |
| Sonnet 5 | $0.00031 | $0.00031 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
upgradelens 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 7d 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
UpgradeLens
Use UpgradeLens when a coding task is about changing an existing npm or PyPI dependency and the agent needs current, source-cited evidence.
- If both the installed version and intended target are known, call
check_dependency_upgradefirst for the go/no-go decision. - If the target is not known, call
find_safe_upgrade_target; its candidates are not safe claims, so check the chosen target before editing. - If the user asks for migration, refactor, changelog, or test steps for a selected target, call
plan_dependency_upgrade. - Do not use these tools for a new installation, general package documentation, or unsupported ecosystems. The tools are read-only; edit files only when the returned
action_allowedis true.
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.
- 7d ago First seen · 9 lines · 154 tokens per session scan A edcb7cdb7c0c
upgradelens GEMINI.md is an instructions file published in the GitHub repository mattpicone/upgradelens (0 stars, last pushed today), licensed MIT. It adds 154 tokens to every session, about $0.0008 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 2026-08-31.
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