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.
npx skills add serejaris/kimi-skills --skill astro-observation-reportgit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/astro-observation-report)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/astro-observation-report"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/astro-observation-report/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/serejaris/kimi-skills/astro-observation-report"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/astro-observation-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00076 | $0.01584 |
| Opus 5 | $0.00038 | $0.00792 |
| Sonnet 5 | $0.00015 | $0.00317 |
| Haiku 4.5 | $0.00008 | $0.00158 |
Grade A, and why
astro-observation-report 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.
This is a copy
86% identical to astro-observation-report-cn — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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:
- Journal header line: "PHYSICAL REVIEW X 9, 011001 (2019)" (centered, small caps)
- Title (bold, centered, ~14pt)
- Author line: "B. P. Abbott et al." with collaboration in parentheses
- Received/revised/published dates
- Abstract (single paragraph, ~200-250 words, full width or two-column)
- DOI line and Subject Areas
- 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
-
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).
-
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. -
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.
-
Write Methods -- Bayesian framework, data (PSD, calibration), waveform models (comparison table in Table I), prior choices (high-spin vs low-spin).
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.
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.
- 12d ago First seen · 126 lines · 76 tokens per session scan A cf9ca373020b
astro-observation-report is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,584 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to astro-observation-report-cn, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
literature-searcher
Search CrossRef, OpenAlex, PubMed, Semantic Scholar, and optional Scopus; deduplicate results, download open-access PDFs by DOI, classify papers, monitor new results, and analyze coverage. Use when asked to search literature, monitor a topic, download an open-access paper, classify papers, or analyze literature gaps.
ape-visualize
Builds interactive, browser-based 3D Three.js visualizations of any mathematics or science concept as a single, self-contained HTML file. Takes a concept and a depth level (Simple, Intermediate, Advanced). Trigger on "ape visualize", "ape visualize math", "ape visualize science", "visualize math", "visualize science"…
math-modeling
A workflow for mathematical modelling, where real-world questions are represented with mathematics and solved with code or analysis.
math-modeling
A workflow for mathematical modelling, where real-world questions are represented with mathematics and solved with code or analysis.
科研可视化工具
A research-visualisation workflow for examining data and producing publication-ready charts for scientific papers.
LaTeX工具
A tool for creating, compiling, and checking mathematical modelling papers written in LaTeX, a document system often used for technical writing.