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 vyuh-labs/dxkit --skill dxkit-prgit clone --depth 1 https://github.com/vyuh-labs/dxkitWrote 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/vyuh-labs/dxkit/dxkit-pr)<a href="https://agentmods.dev/skills/vyuh-labs/dxkit/dxkit-pr"><img src="https://agentmods.dev/badge/skills/vyuh-labs/dxkit/dxkit-pr.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00099 | $0.01633 |
| Opus 5 | $0.00049 | $0.00816 |
| Sonnet 5 | $0.00020 | $0.00327 |
| Haiku 4.5 | $0.00010 | $0.00163 |
Grade A, and why
dxkit-pr 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dxkit-pr
This skill turns a finished branch into a reviewable pull request: a title
and body grounded in what actually changed (not a generic template), and a
checklist that guides the reviewer through what to verify. It's the natural
close of dxkit-feature (built something) and dxkit-action (fixed findings) —
both hand off here when the work is ready for review.
A good PR description is written from the diff, not from memory. This skill reads the branch, summarizes it honestly, and attaches the dxkit signals (guardrail verdict, allowlist activity, score movement) a reviewer would otherwise have to reconstruct by hand.
The PR loop
[1] Compute → `vyuh-dxkit pr` builds the body from the real commits + diff
[2] Narrate → you write only "What & why"; tailor the computed checklist
[3] Confirm → show the user the draft; open with `gh pr create` on yes
The heavy lifting is one command. vyuh-dxkit pr reads base..HEAD and emits a
ready-to-review body with the parts that used to drift when hand-assembled:
- a title from the dominant conventional-commit type + scope,
- a Changes section bucketed by commit type (Features / Fixes / Refactors / …),
- the dxkit signals block (the receipt: guardrail verdict + allowlist delta),
- suggested reviewers (the active-owner model, blended with CODEOWNERS),
- a diff-derived reviewer checklist (a supply-chain row only when a manifest moved, a migration row only when a migration moved, a tests row when source changed without a test, …), and
- a Structural review section: functions this change adds that structurally match existing code — the seam signal as a reviewer prompt, not a block.
Everything there is computed from the branch, so the body can't misrepresent the change. Your job is the narrative ("What & why") and pruning/tailoring the checklist to the actual change.
vyuh-dxkit pr --base <base-branch> # markdown body on stdout
vyuh-dxkit pr --base <base-branch> --since <base-branch> # + health-score movement
vyuh-dxkit pr --base <base-branch> --json # every computed field, to parse
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 · 130 lines · 99 tokens per session scan A c3d763979dcc
dxkit-pr is a skill published in the GitHub repository vyuh-labs/dxkit (10 stars, last pushed 10d ago), licensed MIT. It adds 99 tokens to every session and 1,633 once invoked, about $0.0005 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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