aurora-agent: Skill for Claude Code

.agents/skills/check-parity/SKILL.md

check-parity is a skill for Claude Code, Codex from AURORA-NEURO/aurora-agent. It costs 57 tokens per session (916 once invoked), scanned A, original, Apache-2.0.

A test that checks whether three implementations—Python, Rust, and an indexed data store—produce the same certificate bytes and digest. A digest is a short value used to confirm that data has not changed.

In plain words
What is it for?
Run it after changing serialization, hashing, compiler passes, the data store, or serde settings, and before releasing a wire-format change. It regenerates the reference data and runs the relevant Rust tests.
Why use it?
It catches differences between implementations that could stop certificates created by one part of the system from being read or replayed by another.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is AURORA-NEURO/aurora-agent's own configuration. It tells Claude Code and Codex how to work on aurora-agent 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 aurora-agent configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python tools/regenerate_golden.py.

Reuse

Borrowing it

Nothing to install: this file belongs to AURORA-NEURO/aurora-agent. 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/AURORA-NEURO/aurora-agent/main/.agents/skills/check-parity/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/AURORA-NEURO/aurora-agent

Made for: Claude Code, Codex.

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 check-parity

README.md
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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 check-parity

Your own site · 80×15
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Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 916 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 $0.00057 $0.00916
Opus 5 $0.00028 $0.00458
Sonnet 5 $0.00011 $0.00183
Haiku 4.5 $0.00006 $0.00092

Measured 10d ago against content hash 62f8a1fe665b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

check-parity 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 10d 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.

.agents/skills/check-parity/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Check cross-language parity

Certificates hash canonical bytes. If two implementations disagree, a certificate produced by one cannot be replayed by the other, and the guarantee the whole scheme rests on is gone.

Three implementations must agree on the reference certificate:

c0da17ffc80465258345c8a538171bfd868100cd883e9a20780a0dc5477e7ea4

Run it

python tools/regenerate_golden.py
git diff --exit-code fixtures/
cargo test -p bioprism-ids -p bioprism-fiber -p bioprism-store --offline

A non-empty git diff means the CPython reference itself moved. bioprism-store's suite is what proves the eager and indexed backends agree. CI runs all of this as its own job.

Why it is fragile, so you know what to suspect

Matching CPython required reproducing three behaviours a natural Rust port gets wrong.

Float formatting. CPython switches to exponential notation at a different threshold than Rust and zero-pads the exponent to two digits. python_repr_f64 in crates/ids/src/canonical.rs reimplements CPython's rule; tools/gen_python_ground_truth.py regenerates the expectation table.

Float parsing. serde_json's default parser is not correctly rounded and disagrees with both CPython and native Rust near the subnormal boundary and at 2^53 — 2.2250738585072011e-308 lands one ULP high, 9007199254740993.0 rounds the wrong way. The workspace enables the float_roundtrip feature to fix it. If that feature is dropped, parity breaks silently and the golden fixtures will not catch it, because they contain no such values. The regression test float_parsing_agrees_with_native_rust_and_cpython is the only guard.

Object iteration order. The reference builds leakage witnesses in document order, so serde_json runs with preserve_order. Canonical output sorts keys regardless, so digests are unaffected — but witness list order is not.

Non-finite floats, which are a hole rather than a fixed behaviour. CanonicalError::NonFiniteNumber exists and cannot fire on the path every producer uses: serde_json::to_value maps NaN, +inf and -inf to Value::Null before the encoder sees a number, so all three hash as a stated null. They do not collide with an absent key — that distinction survives — but a corrupt number is silently laundered into a stated null, which is the wrong direction to fail in here. CPython's json.dumps meanwhile emits the bare token NaN, which is not JSON and which serde would refuse to parse, so the two languages disagree about what a non-finite float is and agree today only because no producer emits one. crates/ids/tests/non_finite_floats.rs pins all of it. If you add a float field to a hashed format, validate it at the producerbioprism_biolang::BioState::validate is the worked example.

Read the full file on GitHub · 71 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. 10d ago First seen · 71 lines · 57 tokens per session scan A 62f8a1fe665b

Subscribe to this mod's changes

check-parity is a skill published in the GitHub repository AURORA-NEURO/aurora-agent (1 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 916 once invoked, about $0.0003 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 2026-08-31.

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