rtk: Skill for Claude Code

.claude/skills/tdd-rust/SKILL.md

tdd-rust is a skill for Claude Code from rtk-ai/rtk. It costs 45 tokens per session (1,972 once invoked), scanned A, original, Apache-2.0.

A test-driven development workflow for building Rust output filters. Test-driven development, or TDD, means writing a failing test first, making the code pass it, and then cleaning up the implementation.

In plain words
What is it for?
Use it when adding a Rust filter: capture real command output, write tests and snapshots, implement the filter, refactor it, and check the stated token reduction.
Why use it?
It provides a fixed loop for checking real command output, preserving output formats, and measuring whether filtering reduces text size as expected.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is rtk-ai/rtk's own configuration. It tells Claude Code how to work on rtk 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 rtk configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is let input = include_str!("../tests/fixtures/mycmd_raw.txt");.

About the project

rtk is a command-line proxy that filters and compresses output from development commands before it reaches an LLM's context. It is used with coding agents to reduce the tokens consumed by commands such as Git operations. The catalogue includes skills, commands, agents, and instructions for using rtk in agent workflows.

rtk-ai/rtk · 84,655 stars · on GitHub · rtk-ai.app

Reuse

Borrowing it

Nothing to install: this file belongs to rtk-ai/rtk. 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/rtk-ai/rtk/develop/.claude/skills/tdd-rust/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/rtk-ai/rtk

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 tdd-rust

README.md
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Your own site
<a href="https://agentmods.dev/skills/rtk-ai/rtk/tdd-rust"><img src="https://agentmods.dev/badge/skills/rtk-ai/rtk/tdd-rust/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 tdd-rust

Your own site · 80×15
<a href="https://agentmods.dev/skills/rtk-ai/rtk/tdd-rust"><img src="https://agentmods.dev/badge/skills/rtk-ai/rtk/tdd-rust.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,972 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
  • Socket pass 14 Sept 2026
  • Snyk pass 14 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 207
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 $0.00045 $0.01972
Opus 5.5 $0.00018 $0.00789
Sonnet 5.5 $0.00009 $0.00394
Haiku 4.5 $0.00005 $0.00197

Measured 13d ago against content hash c081ee8c108a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tdd-rust 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 13d 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/tdd-rust/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RTK TDD Workflow

Enforce Red-Green-Refactor for all RTK filter development.

The Loop

1. RED   — Write failing test with real fixture
2. GREEN — Implement minimum code to pass
3. REFACTOR — Clean up, verify still passing
4. SAVINGS — Verify ≥20% token reduction
5. SNAPSHOT — Lock output format with insta

Step 1: Real Fixture First

Never write synthetic test data. Capture real command output:

# Capture real output from the actual command
git log -20 > tests/fixtures/git_log_raw.txt
cargo test 2>&1 > tests/fixtures/cargo_test_raw.txt
cargo clippy 2>&1 > tests/fixtures/cargo_clippy_raw.txt
gh pr view 42 > tests/fixtures/gh_pr_view_raw.txt

# For commands with ANSI codes — capture as-is
script -q /dev/null cargo test 2>&1 > tests/fixtures/cargo_test_ansi_raw.txt

Fixture naming: tests/fixtures/<command>_raw.txt

Step 2: Write the Test (Red)

#[cfg(test)]
mod tests {
    use super::*;
    use insta::assert_snapshot;

    fn count_tokens(s: &str) -> usize {
        s.split_whitespace().count()
    }

    // Test 1: Output format (snapshot)
    #[test]
    fn test_filter_output_format() {
        let input = include_str!("../tests/fixtures/mycmd_raw.txt");
        let output = filter_mycmd(input).expect("filter should not fail");
        assert_snapshot!(output);
    }

    // Test 2: Token savings ≥20%
    #[test]
    fn test_token_savings() {
        let input = include_str!("../tests/fixtures/mycmd_raw.txt");
        let output = filter_mycmd(input).expect("filter should not fail");

        let input_tokens = count_tokens(input);
        let output_tokens = count_tokens(&output);
        let savings = 100.0 * (1.0 - output_tokens as f64 / input_tokens as f64);

        assert!(
            savings >= 20.0,
            "Expected ≥20% token savings, got {:.1}% ({} → {} tokens)",
            savings, input_tokens, output_tokens
        );
    }

    // Test 3: Edge cases
    #[test]
    fn test_empty_input() {
        let result = filter_mycmd("");
        assert!(result.is_ok());
        // Empty input = empty output OR passthrough, never panic
    }

    #[test]
    fn test_malformed_input() {
        let result = filter_mycmd("not valid command output\nrandom text\n");
        // Must not panic — either filter best-effort or return input unchanged
        assert!(result.is_ok());
    }
}

Read the full file on GitHub · 290 lines

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. 13d ago Changed c081ee8c108a
  2. 1mo ago First seen · 290 lines · 45 tokens per session scan A 2f2aede1ea58

Subscribe to this mod's changes

tdd-rust is a skill published in the GitHub repository rtk-ai/rtk (84,655 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 1,972 once invoked, about $0.0002 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.