by UditAkhourii
Claude Code skill: hand bulk judgment calls to Jev. 86% fewer Claude tokens on a 12-task benchmark, up to 20x faster. One-line npx install.
# Add to your Claude Code skills
git clone https://github.com/UditAkhourii/quicksilverLast scanned: 9/27/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-09-27T09:51:22.272Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how quicksilver compares with popular alternatives.
quicksilver is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by UditAkhourii. Claude Code skill: hand bulk judgment calls to Jev. 86% fewer Claude tokens on a 12-task benchmark, up to 20x faster. One-line npx install. It has 122 GitHub stars.
Yes. quicksilver passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/UditAkhourii/quicksilver" and add it to your Claude Code skills directory (see the Installation section above).
quicksilver is primarily written in JavaScript. It is open-source under UditAkhourii on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh quicksilver against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
A big share of every Claude Code session is spent reading things only to decide whether they matter. Which of these 187 files handle auth? Which of these 3,000 log lines are real failures? Which of these 200 tickets are refund requests? Claude reads it all, pays for it all, and the context fills up with noise.
Quicksilver is a Claude Code skill that hands those calls to Jev, TypeSafe's System One model. Jev returns typed verdicts (yes/no, a label, a score) in about a second, for $0.042 per million tokens. Claude gets back a shortlist and spends its tokens on the thinking only it can do.
you ─▶ Claude ──"which files handle auth?"──▶ quicksilver ──▶ Jev (187 files, parallel)
│
Claude ◀──── 4 file paths + confidence ─────┘ ~2.4k tokens instead of ~26k
npx github:UditAkhourii/quicksilver
The installer copies the skill into ~/.claude/skills/quicksilver and asks for
your Jev key once. Get a key at console.typesafe.ai.
Then restart Claude Code. That's it. Claude uses the skill on its own whenever
a task looks like "read a lot to decide a little".
# pass the key non-interactively (CI, dotfiles)
npx github:UditAkhourii/quicksilver install --key YOUR_JEV_KEY
# as a Claude Code plugin
/plugin marketplace add UditAkhourii/quicksilver
/plugin install quicksilver@quicksilver
# from a clone
git clone https://github.com/UditAkhourii/quicksilver && cd quicksilver && ./install.sh # or .\install.ps1
JEV_API_KEY or TYPESAFE_API_KEY in your environment also works. Needs Node 18+.
No npm dependencies.
Twelve tasks a coding agent really runs into. Eight use real public data (a supercomputer log, Banking77, UCI SMS Spam, SST-2, the Hono codebase and its git history, lodash). Each task was solved by a Claude Code subagent working the normal way (Read, Grep, Glob) and by Claude + Quicksilver, and both were scored against hidden ground truth.
| # | Situation | Metric | Claude alone | + Quicksilver | Claude tokens | Token cut | Time | Jev cost |
|---|---|---|---|---|---|---|---|---|
| 1 | Real log triage (BGL, 2k lines) | F1 | 54% | 23% | 84.4k → 12.5k | −85% | 105s → 44s | $0.033 |
| 2 | Needles in a noisy service log (3k lines) | F1 | 100% | 100% | 53.5k → 2.5k | −95% | 56s → 64s | $0.044 |
| 3 | Support ticket routing (Banking77, 8 intents) | acc | 100% | 99% | 15.0k → 2.7k | −82% | 60s → 6s | $0.003 |
| 4 | Spam filtering (UCI SMS) | F1 | 97% | 92% | 20.4k → 4.3k | −79% | 61s → 8s | $0.004 |
| 5 | Review sentiment (SST-2) | acc | 97% | 96% | 19.5k → 3.0k | −85% | 85s → 6s | $0.003 |
| 6 | Codebase discovery (Hono, 187 files) | F1 | 100% | 100% | 26.4k → 2.4k | −91% | 43s → 6s | $0.013 |
| 7 | Security review shortlist (40 files) | F1 | 100% | 89% | 9.5k → 2.5k | −74% | 48s → 3s | $0.001 |
| 8 | CI failure triage (80 logs) | acc | 100% | 100% | 9.1k → 2.5k | −72% | 30s → 3s | $0.002 |
| 9 | Semantic search in lodash.js (17k lines) | hit@5 | 100% | 100% | 9.0k → 4.1k | −55% | 39s → 39s | $0.213 |
| 10 | "Where is X?" ranking over a repo | hit@3 | 100% | 100% | 39.4k → 3.4k | −91% | 60s → 56s | $0.134 |
| 11 | Commit classification (181 real commits) | acc | 83% | 76% | 17.5k → 3.2k | −82% | 106s → 5s | $0.003 |
| 12 | Numeric threshold stress test | F1 | 100% | 100% | 10.2k → 2.4k | −76% | 19s → 6s | $0.003 |
Bold = within 2 points of Claude alone.
The claim: on bulk judgment work, Quicksilver cuts the tokens Claude spends by 86% (median 82%). It matches Claude's accuracy on 8 of 12 real-world tasks and runs up to 20× faster, for a median of $0.004 of Jev per task.
Numbers are measured, not estimated, and the benchmark is fully reproducible:
see bench/. Claude-side tokens subtract the fixed
per-agent overhead, measured with a control task. Quicksilver is charged for
loading its SKILL.md on every task, plus every command and every byte of output
Claude reads back.
Use it for, and trust it on:
Use it as a shortlist, and let Claude check the ? items:
perf vs refactor)
scored 76% against Claude's 83%.Don't use it for: writing, editing, multi-step reasoning, or anything grep
answers exactly. On huge scans (thousands of Jev calls) wall-clock time is about
the same as Claude's. The win there is tokens and context, not speed. Add
--fast to pack items and go about 10× faster on obvious needles.
qs filter "Does this file handle user sessions?" src # which files matter
qs filter "Does this line report a failure?" app.log --lines # log triage, repeats collapsed
qs classify --labels "bug,feature,question" --items issues.jsonl # bulk routing
qs rank "where do we issue refunds?" src --top 5 # relevance ranking
qs find "the retry backoff logic" huge_module.py # locate lines in huge files
qs ask "Does this contract allow termination without notice?" --state @contract.txt
qs status # key check + lifetime tokens saved
The output is built for an LLM to read: one line per hit, repeated log patterns
collapsed into line-number ranges, classify results as id lists, and a ? on
anything borderline. Every run ends with a receipt:
— 3000 scanned · 6 matched · 0 borderline · 64.2s · jev 1.0M tok ($0.0436) · ~56k Claude tokens not read
Quicksilver quietly changes how Claude prompts. Instead of "read all of this and tell me what matters", Claude has to state one narrow, typed judgment: a yes/no condition, a closed set of labels, or a rubric. That's the same discipline that makes any LLM prompt reliable. The skill teaches it explicitly: one judgment per question, exact boundary cases, a catch-all label, and no arithmetic or dates. The question becomes a reusable, testable unit rather than a vibe.
.env*, private keys, certificates, or credentials files. It
respects .gitignore, and skips binaries and files over 2 MB.api.typesafe.ai). TypeSafe states that Jev
is not trained on customer data. Don't point it at anything you can't send to
a third party.~/.quicksilver/config.json with user-only permissions.
npx github:UditAkhourii/quicksilver setup --remove deletes it.Does this replace Claude? No. Jev can't write, reason, or edit. Quicksilver makes Claude cheaper by keeping skimming out of its context.
What does Jev cost? $0.042 per million input tokens, and output is free. The whole 12-task benchmark cost $0.45 of Jev.
Is this official? No. It's an independent open-source project, not affiliated with Anthropic or TypeSafe AI.
MIT © Udit Akhouri