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 SJTU-IPADS/SkVM --skill skvm-jitgit clone --depth 1 https://github.com/SJTU-IPADS/SkVMWrote 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/sjtu-ipads/skvm/skvm-jit)<a href="https://agentmods.dev/skills/sjtu-ipads/skvm/skvm-jit"><img src="https://agentmods.dev/badge/skills/sjtu-ipads/skvm/skvm-jit/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/sjtu-ipads/skvm/skvm-jit"><img src="https://agentmods.dev/badge/skills/sjtu-ipads/skvm/skvm-jit.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 | $0.00111 | $0.02778 |
| Opus 5.5 | $0.00044 | $0.01111 |
| Sonnet 5.5 | $0.00022 | $0.00556 |
| Haiku 4.5 | $0.00011 | $0.00278 |
Grade C, and why
skvm-jit scanned grade C with 2 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 1mo 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- If `skvm` is not on PATH, report it to the user and stop — do not install anything. If `skvm jit-optimize` fails with "opencode not found", tell the user to re-run the skvm installer (`curl -fsSL https://skillvm.ai/ins Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- If `skvm` is not on PATH, report it to the user and stop — do not install anything. If `skvm jit-optimize` fails with "opencode not found", tell the user to re-run the skvm installer (`curl -fsSL https://skillvm.ai/ins This is a copy
100% identical to skvm-jit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkVM JIT Optimize Trigger
When you finish a task that was driven by a skill, and the skill's own instructions appear to have caused problems, collect a short structured record of what happened and invoke skvm jit-optimize. The optimizer reads that evidence, proposes improvements to the skill's files, and stores them as a proposal you can inspect with skvm proposals show <id>.
This skill is not a human review workflow. Its job is to turn task evidence into a concrete optimization run.
This works for any skill the host harness can load — it does not need to have been produced by SkVM's compiler. jit-optimize only needs the skill folder on disk; it does not require SkVM-specific artifacts.
When to trigger
Run this skill only when both of the following hold:
- The task you just completed was driven by a skill that the harness loaded from disk (not an ad-hoc user instruction).
- At least one of the following is true:
- the task failed or ended partial, and a clearer skill would plausibly have avoided it
- you observed a concrete problem in the skill's instructions: ambiguity, a missing step, an incorrect claim, a confusing ordering, or an unnecessary detour the skill forced you into
Do not run this skill when:
- the task succeeded and the skill read cleanly — silent passes are fine, the optimizer does not need "nothing to report" submissions
- the failure was purely user-side (typo in the prompt, missing credentials, network failure) and no change to the skill would have helped
- the task did not use a skill at all, or used only a trivial one-shot instruction
- you are running inside
skvm benchor any other SkVM-orchestrated flow — bench owns its own optimization loop, do not double-submit
Step 1: Locate the skill directory
The skill directory contains a SKILL.md file. You need the absolute path to pass as --skill=<dir> in Step 3.
Each agent harness installs skills in well-known locations. Read adapter-skill-paths.md (sibling file in this skill's directory) and look up the section matching the harness you are currently running inside — it lists the search order for Claude Code, opencode, openclaw, hermes, jiuwenclaw, and bare-agent. Probe the listed paths in order and pick the first one that contains a SKILL.md for the skill name you are looking for.
What ships with it
1 file 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.
- 1mo ago First seen · 143 lines · 111 tokens per session scan C 529840416ede
skvm-jit is a skill published in the GitHub repository SJTU-IPADS/SkVM (567 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 2,778 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 100% identical to skvm-jit, differing in 0 lines, and is treated as a copy.
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