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 v1r3n/dinesh-gilfoyle --skill dggit clone --depth 1 https://github.com/v1r3n/dinesh-gilfoyleWrote 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/v1r3n/dinesh-gilfoyle/dg)<a href="https://agentmods.dev/skills/v1r3n/dinesh-gilfoyle/dg"><img src="https://agentmods.dev/badge/skills/v1r3n/dinesh-gilfoyle/dg/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/v1r3n/dinesh-gilfoyle/dg"><img src="https://agentmods.dev/badge/skills/v1r3n/dinesh-gilfoyle/dg.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 | $0.00029 | $0.02766 |
| Opus 5 | $0.00015 | $0.01383 |
| Sonnet 5 | $0.00006 | $0.00553 |
| Haiku 4.5 | $0.00003 | $0.00277 |
Grade A, and why
dg 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 10d 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dinesh vs Gilfoyle Code Review
Two-agent adversarial code review inspired by HBO's Silicon Valley. Gilfoyle attacks the code with withering technical precision. Dinesh defends it with flustered competence. The banter entertains; the back-and-forth produces genuinely better reviews.
Invocation
/dg— review git diff (staged + unstaged)/dg 3— git diff, max 3 rounds/dg src/auth.ts— review specific file/dg src/auth.ts 3— specific file, 3 rounds max
Parse Arguments
- No args → target = git diff, cap = 5
- Number only → target = git diff, cap = that number
- Path only → target = that path, cap = 5
- Path + number → target = path, cap = number
Orchestration
Step 1: Gather Code
If git diff:
git diff HEAD
git diff --staged
Combine both diffs. If both are empty, tell the user there's nothing to review.
If file/path: Read the target file(s). If path is a directory, read all source files in it.
Always: Gather dependency context. Look for dependency files in the project root and include them in the context sent to agents:
package.json,package-lock.json,yarn.lock,pnpm-lock.yaml(Node.js)requirements.txt,pyproject.toml,Pipfile.lock(Python)go.mod,go.sum(Go)pom.xml,build.gradle(Java)Gemfile,Gemfile.lock(Ruby)Cargo.toml,Cargo.lock(Rust)composer.json,composer.lock(PHP)
These are needed for Gilfoyle's dependency vulnerability scan.
Step 2: Run the Debate
Initialize: round = 0, debate_history = []
digraph debate {
"Gather code" [shape=box];
"Dispatch Gilfoyle" [shape=box];
"New issues found?" [shape=diamond];
"Dispatch Dinesh" [shape=box];
"All conceded, no pushback?" [shape=diamond];
"Round >= cap?" [shape=diamond];
"Ask user: continue?" [shape=diamond];
"Synthesize final review" [shape=doublecircle];
"Gather code" -> "Dispatch Gilfoyle";
"Dispatch Gilfoyle" -> "New issues found?";
"New issues found?" -> "Synthesize final review" [label="no — converged"];
"New issues found?" -> "Dispatch Dinesh" [label="yes"];
"Dispatch Dinesh" -> "All conceded, no pushback?";
"All conceded, no pushback?" -> "Synthesize final review" [label="yes — converged"];
"All conceded, no pushback?" -> "Round >= cap?";
"Round >= cap?" -> "Dispatch Gilfoyle" [label="no — next round"];
"Round >= cap?" -> "Ask user: continue?" [label="yes"];
"Ask user: continue?" -> "Dispatch Gilfoyle" [label="yes — extend cap"];
"Ask user: continue?" -> "Synthesize final review" [label="no"];
}
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 284 lines · 29 tokens per session scan A 6a1903f51765
dg is a skill published in the GitHub repository v1r3n/dinesh-gilfoyle (191 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 2,766 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.
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