Borrowing it
Nothing to install: this file belongs to anam-org/metaxy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/anam-org/metaxy/main/.claude/skills/syrupy/SKILL.mdgit clone --depth 1 https://github.com/anam-org/metaxyWrote 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.
[](https://agentmods.dev/skills/anam-org/metaxy/syrupy)<a href="https://agentmods.dev/skills/anam-org/metaxy/syrupy"><img src="https://agentmods.dev/badge/skills/anam-org/metaxy/syrupy/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.
<a href="https://agentmods.dev/skills/anam-org/metaxy/syrupy"><img src="https://agentmods.dev/badge/skills/anam-org/metaxy/syrupy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.02317 |
| Opus 5 | $0.00020 | $0.01158 |
| Sonnet 5 | $0.00008 | $0.00463 |
| Haiku 4.5 | $0.00004 | $0.00232 |
Grade A, and why
syrupy 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Syrupy - Pytest Snapshot Testing
Syrupy is a zero-dependency pytest snapshot testing plugin that enables asserting the immutability of computed results through simple, idiomatic assertions.
Docs: https://syrupy-project.github.io/syrupy/
What is Syrupy?
Syrupy is a snapshot testing library that:
- Captures the output/state of code at a point in time
- Compares future test runs against saved snapshots
- Automatically manages snapshot files in
__snapshots__directories - Integrates naturally with pytest's assertion syntax
Core Philosophy
Three Design Principles:
- Extensible: Easy to add support for custom/unsupported data types
- Idiomatic: Natural pytest-style assertions (
assert x == snapshot) - Sound: Fails tests if snapshots are missing or different
Target Use Case: Testing complex data structures, API responses, UI components, or any computed results that should remain stable over time.
Snapshot Fixture API
Core Methods
The snapshot fixture accepts several options per assertion:
matcher: Control how objects are serializedexclude: Filter out properties from snapshotsinclude: Include only specific propertiesextension_class: Use a different serialization formatdiff: Capture only differences from a basename: Custom name for the snapshot
Usage with Options
assert data == snapshot(matcher=my_matcher, exclude=my_filter, name="custom_name")
Built-in Extensions
Syrupy provides several snapshot extensions for different use cases:
AmberSnapshotExtension (Default)
- Human-readable format
- Stores all snapshots in
.ambrfiles - Supports all Python built-in types
- Custom object representation via
__repr__
JSONSnapshotExtension
- Stores snapshots as JSON files (
.jsonextension) - Useful for API responses and complex data structures
- Machine-readable format
- Import from
syrupy.extensions.json
Usage Example:
import pytest
from syrupy.extensions.json import JSONSnapshotExtension
@pytest.fixture
def snapshot_json(snapshot):
return snapshot.use_extension(JSONSnapshotExtension)
def test_api_call(client, snapshot_json):
resp = client.post("/endpoint")
assert resp.status_code == 200
assert snapshot_json == resp.json()
What ships with it
1 file 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.
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.
- 7d ago First seen · 408 lines · 40 tokens per session scan A 261cf9d732af
syrupy is a skill published in the GitHub repository anam-org/metaxy (119 stars, last pushed 18d ago), licensed Apache-2.0. It adds 40 tokens to every session and 2,317 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 2026-09-01.
Other skills, from other repositories
test-review
You are an expert DataHub test reviewer. Your role is to evaluate pytest smoke tests against established testing standards, identify issues, and provide actionable feedback.
chart-defaults
Find the actual runtime default value of any AG Charts configuration option, and keep JSDoc Default: markers accurate. Use when documenting a default, verifying a change has not altered one, writing tests against default behaviour, or auditing whether a TypeScript comment matches the theme template.
animation-test-migration
Migrate a series type from ratio-snapshot animation tests and manual -test docs pages to frame-trajectory coverage. Use when converting a series (area, pie, scatter, histogram, range-bar, candlestick, radar, …) to the trajectory harness.
mock-data-generator
A tool that creates realistic sample data from a schema or type definition. Sample data is made-up information used while building or testing software.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
migrate-xunit-to-xunit-v3
Migrate .NET test projects from xUnit.net v2 to xunit.v3 and fix v3 breaks. Use for package/CPM conversion, OutputType=Exe, preserving the VSTest or MTP runner (including projects currently using YTest.MTP.XUnit2), incompatible TFMs, async void tests, string-to-Type attributes, custom Fact/Theory/BeforeAfterTest…