astro-observation-report-cn

astro-observation-report-cn is a skill for Claude Code, Codex from serejaris/kimi-skills. It costs 97 tokens per session (1,606 once invoked), scanned A, original, MIT.

A Chinese-language guide for writing research papers about gravitational waves from merging compact binary systems, such as neutron stars and black holes. It follows the structure and presentation style of Physical Review X papers and supports PDF, DOCX, and PPTX outputs.

In plain words
What is it for?
Use it to plan and format LIGO, Virgo, or KAGRA observation papers about binary-neutron-star, binary-black-hole, or neutron-star–black-hole mergers.
Why use it?
It provides a consistent paper structure and conventions for detector results, parameter estimates, uncertainty ranges, and scientific figures. Physical Review X is a peer-reviewed physics journal with a specific two-column format.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan and format LIGO, Virgo, or KAGRA observation papers about binary-neutron-star, binary-black-hole, or neutron-star–black-hole mergers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/astro-observation-report-cn
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 serejaris/kimi-skills --skill astro-observation-report-cn
Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills

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 astro-observation-report-cn

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/astro-observation-report-cn/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/astro-observation-report-cn)
Your own site
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/astro-observation-report-cn"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/astro-observation-report-cn/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 astro-observation-report-cn

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/astro-observation-report-cn"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/astro-observation-report-cn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,606 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 $0.00097 $0.01606
Opus 5 $0.00048 $0.00803
Sonnet 5 $0.00019 $0.00321
Haiku 4.5 $0.00010 $0.00161

Measured 12d ago against content hash b91b8c95ea36, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

astro-observation-report-cn 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/astro-observation-report-cn/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gravitational-Wave Observational Results Writing Guide

A markdown-driven skill encoding document structure, presentation patterns, and statistical conventions from LIGO/Virgo/KAGRA collaboration SOTA papers.

Reference Source

  • Reference type: Uploaded PDF artifact (Physical Review X journal article)
  • Reference artifact type: PDF (peer-reviewed physics journal)
  • Reference File Type: PDF
  • Supported outputs: PDF, DOCX, PPTX
  • Default output: PDF (academic journal manuscript, two-column layout)

First-Page Layout (Critical)

The Physical Review X format places ALL of the following on page 1:

  1. Journal header line: "PHYSICAL REVIEW X 9, 011001 (2019)" (centered, small caps)
  2. Title (bold, centered, ~14pt)
  3. Author line: "B. P. Abbott et al." with collaboration in parentheses
  4. Received/revised/published dates
  5. Abstract (single paragraph, ~200-250 words, full width or two-column)
  6. DOI line and Subject Areas
  7. Beginning of I. INTRODUCTION (small-caps heading)

There is NO separate title page or abstract page. The introduction starts immediately after the abstract on the same page.

Core Workflow

  1. Establish paper scope -- Identify event(s), detector network, analysis epoch. Determine measurable parameters (masses, spins, tides, location, inclination) and what is not measurable (postmerger signal).

  2. Structure the manuscript -- Follow section hierarchy in references/structure_contract.md. Architecture: compact first page with abstract + intro -> Methods -> Results (by parameter class) -> Postmerger limits -> Conclusions -> Appendices -> Full author list.

  3. Write the Abstract -- Single paragraph: detection statement (SNR, detectors, event name, source type), multimessenger context, key parameter constraints with numerical values, model comparison, postmerger upper limits.

  4. Write Methods -- Bayesian framework, data (PSD, calibration), waveform models (comparison table in Table I), prior choices (high-spin vs low-spin).

Read the full file on GitHub · 126 lines

Files

What ships with it

3 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. 12d ago First seen · 126 lines · 97 tokens per session scan A b91b8c95ea36

Subscribe to this mod's changes

astro-observation-report-cn is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 1,606 once invoked, about $0.0005 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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