jolt: Skill for Claude Code

.claude/skills/new-objective/SKILL.md

new-objective is a skill for Claude Code from a16z/jolt. It costs 13 tokens per session (1,326 once invoked), scanned A, original, Apache-2.0.

A guided workflow for adding a new measurement objective to the Rust-based jolt-eval project. An objective is a defined score or benchmark, such as a code-complexity measure or a performance measurement.

In plain words
What is it for?
Use it when adding a static-analysis or performance objective to jolt-eval, including its registration, scoring function, benchmark, and target synchronisation.
Why use it?
It handles the repeated project wiring and enforces the distinction between analysing source code and measuring runtime performance. It also checks the name and requires linting and tests before success is reported.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is a16z/jolt's own configuration. It tells Claude Code how to work on jolt itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything jolt configures →

About the project

Jolt is a zero-knowledge virtual machine for RISC-V that enables programs to be executed and cryptographically proven. It is for developers and contributors working with zero-knowledge proofs and virtual machines, while the catalogue entries provide instructions and skills for using or developing Jolt.

a16z/jolt · 1,059 stars · on GitHub · jolt.a16zcrypto.com

Reuse

Borrowing it

Nothing to install: this file belongs to a16z/jolt. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/a16z/jolt/main/.claude/skills/new-objective/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/a16z/jolt

Made for: Claude Code.

Wrote 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.

agentmods badge for new-objective

README.md
[![agentmods](https://agentmods.dev/badge/skills/a16z/jolt/new-objective/github.svg)](https://agentmods.dev/skills/a16z/jolt/new-objective)
Your own site
<a href="https://agentmods.dev/skills/a16z/jolt/new-objective"><img src="https://agentmods.dev/badge/skills/a16z/jolt/new-objective/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.

agentmods 80×15 button for new-objective

Your own site · 80×15
<a href="https://agentmods.dev/skills/a16z/jolt/new-objective"><img src="https://agentmods.dev/badge/skills/a16z/jolt/new-objective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,326 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00013 $0.01326
Opus 5.5 $0.00005 $0.00530
Sonnet 5.5 $0.00003 $0.00265
Haiku 4.5 $0.00001 $0.00133

Measured 1mo ago against content hash 587c2669875c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

new-objective 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 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.

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.

.claude/skills/new-objective/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill handles all the boilerplate: creating the objective struct, implementing the Objective trait, registering it in the appropriate enum, creating a const key, adding an ObjectiveFunction, creating a Criterion benchmark, and running sync_targets.sh.

<Execution_Policy>

  • The user must provide an objective name (lowercase with underscores, e.g. cyclomatic_complexity).
  • Use the request, spec, and repository context to identify the measurement and objective kind; ask only for missing requirements.
  • Follow existing patterns exactly — study lloc.rs (static analysis) and binding.rs (performance) as models.
  • Always run clippy and tests before reporting success. </Execution_Policy>

Phase 1: Gather Requirements

  1. Validate the argument {{ARGUMENTS}}: must be a valid Rust identifier (lowercase alphanumeric + underscores). Reject otherwise.
  2. Gather these requirements from existing context; ask the user only for missing information:
    • What is being measured? (becomes the description())
    • Is this a static analysis objective or a performance objective?
      • Static analysis: computes a metric by analyzing source code (e.g. lines of code, complexity). Overrides collect_measurement(), uses Setup = ().
      • Performance: computes a metric by running/profiling some computation (e.g. wall-clock time, max RSS). Overrides setup() and run().
    • What are the units? (e.g. "lines", "s", "bugs")
    • What files/directories does this objective measure? (used for diff_paths() scoping)

Phase 2: Explore Context

  1. Read jolt-eval/src/objective/mod.rs to understand the current enums and dispatch methods.
  2. Read jolt-eval/src/objective/objective_fn/mod.rs to understand objective function registration.
  3. Read an existing objective for reference:
    • Static analysis: jolt-eval/src/objective/code_quality/lloc.rs
    • Performance: jolt-eval/src/objective/performance/binding.rs
  4. Explore the modular crates that own the measured functionality.

Read the full file on GitHub · 136 lines

Files

What ships with it

2 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.

Changes

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.

  1. 1mo ago Changed 587c2669875c
  2. 1mo ago Changed 42cb3eaeb977
  3. 2mo ago First seen · 136 lines · 13 tokens per session scan A 376bf4ad8463

Subscribe to this mod's changes

new-objective is a skill published in the GitHub repository a16z/jolt (1,059 stars, last pushed today), licensed Apache-2.0. It adds 13 tokens to every session and 1,326 once invoked, about $0.0001 per session on Opus 5.5. 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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