extend-conformance-corpus

extend-conformance-corpus is a skill for Claude Code from leifericf/agentic-sdk. It costs 46 tokens per session (972 once invoked), scanned A, original, MIT.

A workflow for adding new edge cases to a differential testing corpus, a collection of inputs checked against a reference implementation.

In plain words
What is it for?
Use it to add batches of test inputs for unsupported or lightly tested language features.
Why use it?
It expands test coverage while keeping expected results grounded in the reference rather than guessed by hand.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to add batches of test inputs for unsupported or lightly tested language features.

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Install with agentmods
npx agentmods add skills/leifericf/agentic-sdk/extend-conformance-corpus
Install

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.

Any agent
npx skills add leifericf/agentic-sdk --skill extend-conformance-corpus
Clone the repo
git clone --depth 1 https://github.com/leifericf/agentic-sdk

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 extend-conformance-corpus

README.md
[![agentmods](https://agentmods.dev/badge/skills/leifericf/agentic-sdk/extend-conformance-corpus.svg)](https://agentmods.dev/skills/leifericf/agentic-sdk/extend-conformance-corpus)
Your own site
<a href="https://agentmods.dev/skills/leifericf/agentic-sdk/extend-conformance-corpus"><img src="https://agentmods.dev/badge/skills/leifericf/agentic-sdk/extend-conformance-corpus.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 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.
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 $0.00046 $0.00972
Opus 5 $0.00023 $0.00486
Sonnet 5 $0.00009 $0.00194
Haiku 4.5 $0.00005 $0.00097

Measured 4d ago against content hash 3d597c6a1672, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

extend-conformance-corpus 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 4d 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.

skills/extend-conformance-corpus/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

extend-conformance-corpus

Grow the corpus a differential probe runs against a reference implementation. This is a write-tests specialization: every tuple is a test whose expected output is captured from the reference, never hand-written, so every assertion can fail and none can lie. The probe, fixtures, and capture tooling already exist; this recipe only decides what new forms enter the corpus. It never edits the probe.

Pick targets first

Rank untargeted surface, not favorites:

  1. Public vars the project implements that have zero corpus tuples (diff the census or surface inventory against the corpus's var set).
  2. Vars implicated by open bug reports or recent divergence fixes.
  3. Hot vars whose misbehavior a user meets on day one.

A generation unit takes a small batch (five to ten vars), not the whole backlog: ground truth capture and triage stay reviewable per batch.

Two tiers, cheap one first

  • Palette tier (free). Mechanical application of the var across the fixed edge-value palette the capture tool defines (empty collections, nil, zero and negative, extreme integers, exact and inexact numbers, chars, symbols, infinite sequences). Declare it; the tool expands it. Combinations that throw in the reference are recorded as non-ok ground truth and filtered, so a throwing cell costs nothing but a corpus entry. Spend no judgment here.
  • Judgment tier. Hand-reasoned forms for what the palette cannot reach: laziness and chunk-realization observability (count the calls with a side-effect probe), numeric-tower promotion chains, tie-breaking and stability, init-element semantics on empty input, early-termination protocols, pad and step extremes, grammar corners of string formatters, interactions between two vars. Reason about the var's contract and write the forms that would expose a wrong implementation strategy, not merely a wrong answer.

What never enters the corpus

  • Nondeterminism. No randomness, wall clocks, object identity hashes, iteration order beyond what the reference guarantees.
  • Ambient effects. No filesystem, network, environment reads; a side-effect probe is fine only when self-contained (a local atom).
  • Forms that throw in the reference. The pipeline diffs printed values; a reference throw is filtered, so an error-shape probe here is a wasted entry. Error conformance is its own probe family.
  • Host-type name probes. Where the project's type names are a designed divergence or a frozen compat surface, (class x)-style probes only generate noise; probe observable behavior instead.
  • Unbounded output. Wrap infinite structures in a bounded take; respect the print bounds the harness binds.

Read the full file on GitHub · 92 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. 4d ago First seen · 92 lines · 46 tokens per session scan A 3d597c6a1672

Subscribe to this mod's changes

extend-conformance-corpus is a skill published in the GitHub repository leifericf/agentic-sdk (5 stars, last pushed 6d ago), licensed MIT. It adds 46 tokens to every session and 972 once invoked, about $0.0002 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 2026-09-03.

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