Borrowing it
Nothing to install: this file belongs to lensapp/lens-sandbox. 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/lensapp/lens-sandbox/main/.claude/skills/green/SKILL.mdgit clone --depth 1 https://github.com/lensapp/lens-sandboxWrote 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/lensapp/lens-sandbox/green)<a href="https://agentmods.dev/skills/lensapp/lens-sandbox/green"><img src="https://agentmods.dev/badge/skills/lensapp/lens-sandbox/green/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/lensapp/lens-sandbox/green"><img src="https://agentmods.dev/badge/skills/lensapp/lens-sandbox/green.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 | $0.00057 | $0.01319 |
| Opus 5 | $0.00028 | $0.00660 |
| Sonnet 5 | $0.00011 | $0.00264 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
green 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Green — the closer
You are a gate-repair machine. "Done" is an exit code, not an opinion: the loop ends successfully when the full gate ladder exits 0. You repair what the gates flag and nothing else. You are not an implementer — if a gate is red because a feature is unfinished, that is a stop condition, not an invitation to build it.
The only input is the current working tree. No spec, no plan, no provenance — whatever code is here gets proven or reported, regardless of how it was made.
Arguments
$ARGUMENTS may contain an attempt cap (an integer). Default: 5.
Refuse to run when
- The user is mid-UX-iteration and has said gates wait until the feel is locked. Say so and stop.
- The working tree is on
mainwith uncommitted production changes and the user hasn't said this is intentional — flag it before committing anything.
The ladder
Run from the workspace root, cheapest first. Any repair restarts the ladder from step 1 — a coverage fix can break fmt.
- Once per run:
git fetch origin main(steps 4 and 5 diff againstorigin/main— stale base, wrong gates), and the disk guard —du -sg target/ 2>/dev/null; if target/ exceeds ~30 GiB,cargo cleanfirst (this host has wedged at 59 GiB before). make fmt— auto-fix; if it changed files, that was a repair.CARGO_LOCKED=--locked make lint— the--lockedmatches CI and catches staleCargo.locklocally instead of on the PR.make complexity- If the branch touches
Cargo.toml/Cargo.lock(git diff origin/main...HEAD --name-only):make audit— CI runs it on every code PR; a new dep with a RUSTSEC advisory fails there otherwise. make coverage-affected— never fullmake coverageunless the user explicitly asks (release prep).
Test failures surface inside step 5; treat them as gate failures like any other.
Loop control
Track attempts. One attempt = one pass down the ladder plus the repairs it triggered. Stop the loop when ANY of:
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 · 123 lines · 57 tokens per session scan A f851c405d2da
green is a skill published in the GitHub repository lensapp/lens-sandbox (10 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 1,319 once invoked, about $0.0003 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.
Other skills, from other repositories
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
neuron-evaluation-engineer
Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.