Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Metalnib/dotnet-episteme-skills/plugin install dotnet-episteme-skillsWrote 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/metalnib/dotnet-episteme-skills/dotnet-review)<a href="https://agentmods.dev/commands/metalnib/dotnet-episteme-skills/dotnet-review"><img src="https://agentmods.dev/badge/commands/metalnib/dotnet-episteme-skills/dotnet-review/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/metalnib/dotnet-episteme-skills/dotnet-review"><img src="https://agentmods.dev/badge/commands/metalnib/dotnet-episteme-skills/dotnet-review.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 | $0.00061 | $0.01637 |
| Opus 5 | $0.00030 | $0.00818 |
| Sonnet 5 | $0.00012 | $0.00327 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
dotnet-review 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dotnet-review — orchestrated multi-agent .NET review
You are the orchestrator. Do not review code yourself - dispatch, then format the result.
Arguments given: $ARGUMENTS
Step 1 — Resolve target and mode
- Target: a branch name, commit range,
--staged, or (if empty) the current uncommitted changes. For a document/spec review target, use thedotnet-techne-code-reviewskill instead of this command. For verifying a story implementation against its spec/acceptance criteria, use/dotnet-qa- this command hunts defects, not spec conformance. - Effort: pass
--effort <level>straight through if given. Without it the script scales reasoning effort with the change size, so only override when the user asks. - Mode: Cynical if
--cynicalwas passed or the user's request language is explicitly skeptical ("tear this apart", "assume this is broken", "devil's advocate"); otherwise Standard. - Intent pack (maintainer only, never shown to reviewers): 2-5 lines summarizing what was built and any deliberate trade-offs decided in this session, if you have that context.
Step 2 — Preferred: run the bundled workflow
If the Workflow tool is available, invoke the plugin's script (this command is your opt-in):
Workflow({
scriptPath: "${CLAUDE_PLUGIN_ROOT}/workflows/dotnet-review.js",
args: {
target: "<resolved target>",
cynical: <bool>,
model: "<only if --model was passed>",
effort: "<only if --effort was passed>",
pluginRoot: "${CLAUDE_PLUGIN_ROOT}",
intentPack: "<intent pack or omit>"
}
})
The script does everything: a scout agent sizes the change and resolves it to two pinned commit SHAs plus classified file lists (it emits no diff text - each reviewer produces the diff itself from a read-only git diff command the script assembles, so the diff never passes through a model's output), the script picks a model tier per reviewer in code (base from size: small → sonnet, medium → session model at medium effort, large or cross-repo → opus; a security/public-API/data surface boosts only the reviewer that owns it to at least opus; the maintainer matches the strongest reviewer). Opus is the ceiling the script picks on its own - fable runs only when the user passes --model fable. Reasoning effort scales on the same breakpoints (medium, then high above 20 files or 1000 LOC, then xhigh above 50 files or 3000 LOC; Cynical adds one step; the maintainer matches the reviewers), and --effort overrides it, fans out up to five reviewers in parallel (four specialists + a generalist with no lane; the four specialists get tests and generated files filtered out of their diff, and are skipped entirely when the change has no source files), dedupes in code, and runs the maintainer verification (per-finding parallel above 10 blocking findings). Intermediate findings never enter this conversation - you receive {tiers, maintainerTier, sizing, mode, scope, findings, refuted, reviewersFailed, reviewersSkipped}.
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 · 55 lines · 61 tokens per session scan A f96f12a6b5fa
dotnet-review is a command published in the GitHub repository Metalnib/dotnet-episteme-skills (12 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 1,637 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 2026-08-30.
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