Borrowing it
Nothing to install: this file belongs to saeedkolivand/ai-job-hunter-app. 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/saeedkolivand/ai-job-hunter-app/main/.claude/commands/review-webgl.mdgit clone --depth 1 https://github.com/saeedkolivand/ai-job-hunter-appWrote 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/commands/saeedkolivand/ai-job-hunter-app/review-webgl)<a href="https://agentmods.dev/commands/saeedkolivand/ai-job-hunter-app/review-webgl"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/review-webgl/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/commands/saeedkolivand/ai-job-hunter-app/review-webgl"><img src="https://agentmods.dev/badge/commands/saeedkolivand/ai-job-hunter-app/review-webgl.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 | $0.00021 | $0.00269 |
| Opus 5 | $0.00010 | $0.00134 |
| Sonnet 5 | $0.00004 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
review-webgl 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 12d 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
Run a WebGL landing review -- scrub-safety, resource disposal, per-frame allocation, post pipeline correctness, budget, semantic-layer parity, and gate integrity.
- Load the
token-efficiency+webgl-standardsskills; readdocs/knowledge/decision-records/0014-landing-gl-takeover.md. - Scope with graphify/codegraph; stop at ~90% confidence. No repo-wide scan.
- Target =
$ARGUMENTSif given, else the currentgit diffunderapps/landing/src/**. - Spawn the
webgl-reviewersubagent (Task) over the diff (both authors' work -- scenes/engine and GLSL/post). If the change alters rendered output, addgate-auditoras Secondary against the dev server -- <=3 reviewers. - Report severity-tagged findings (scrub-safety, disposal, allocation, uniform-vs-recompile, budget, semantic parity, gate, ASCII); HIGH/CRITICAL block.
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.
- 12d ago First seen · 17 lines · 21 tokens per session scan A 337c19c6cfc1
review-webgl is a command published in the GitHub repository saeedkolivand/ai-job-hunter-app (55 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 269 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
devkit.react.code-review
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codebase-review
Review an entire codebase for architecture, engineering health, and exploitable risk; generate a prioritized remediation plan, an evidence-anchored system knowledge document, or both.
cargo-clippy
Command "cargo-clippy" from olorehq/olore, covering cargo-clippy(1), name, description and see also.
close-the-books
Run the full month-end close - entries, reconciliations, statements, review pack.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.