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 cboone/agent-harness-plugins --skill write-pandoc-markdowngit clone --depth 1 https://github.com/cboone/agent-harness-pluginsWrote 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/cboone/agent-harness-plugins/write-pandoc-markdown)<a href="https://agentmods.dev/skills/cboone/agent-harness-plugins/write-pandoc-markdown"><img src="https://agentmods.dev/badge/skills/cboone/agent-harness-plugins/write-pandoc-markdown.svg" alt="Measured on agentmods" 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 | $0.00116 | $0.00679 |
| Opus 5 | $0.00058 | $0.00340 |
| Sonnet 5 | $0.00023 | $0.00136 |
| Haiku 4.5 | $0.00012 | $0.00068 |
Grade A, and why
write-pandoc-markdown scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Pandoc Markdown
Apply the Pandoc Markdown conventions from the reference files below when creating or editing academic papers authored in Pandoc-flavored Markdown.
This skill covers Pandoc extensions and the Markdown-to-LaTeX pipeline. For
GFM formatting and markdownlint rules, see the write-markdown skill instead.
Document titles belong in YAML frontmatter (title:), not as a body #
heading. The frontmatter title is the implicit H1, so the first real body
section starts at ##.
Core Principles
- Plain text sustainability -- Markdown source should remain readable and editable decades from now, independent of any tool
- Separation of content and formatting -- write content in Markdown; let the template and build pipeline handle visual presentation
- Pandoc syntax over raw LaTeX when possible -- use
[@key]for citations,$...$for math, Markdown headings for sections; fall back to raw LaTeX only for constructs Pandoc cannot express - Format-independent content -- raw LaTeX blocks are invisible in HTML and DOCX output; prefer Pandoc-native syntax for maximum portability
Workflow
- Review against the essential checklist:
./references/essential/checklist.md - For specific questions, consult the comprehensive references below
Reference Navigation
Quick reviews (default):
references/essential/checklist.md-- condensed, actionable rules
Deep dives by topic:
references/comprehensive/math-and-citations.md-- math delimiter rules, currency escaping, citation syntax, natbib vs citeprocreferences/comprehensive/cross-references.md-- raw LaTeX spans, pandoc-crossref, section labels, filter orderingreferences/comprehensive/raw-latex-blocks.md-- when to use raw LaTeX, fenced block syntax, inline raw spans, theorem environmentsreferences/comprehensive/yaml-frontmatter.md-- academic metadata fields, template variables, header includes, field escapingreferences/comprehensive/build-pipeline.md-- two-stage build, Pandoc flags, PDF engines, Lua filters
What ships with it
6 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.
- 3d ago First seen · 69 lines · 116 tokens per session scan A d5f223c92102
write-pandoc-markdown is a skill published in the GitHub repository cboone/agent-harness-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 679 once invoked, about $0.0006 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.
Other skills, from other repositories
clinical-case-report
Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds"…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
nature-experiment-log
A workflow for turning experiment notes, images, audio, or text into structured Markdown laboratory logs with YAML metadata. It can also organize raw attachments and optionally connect the logs to Feishu or Obsidian.
parsing-ccda-documents
Parses C-CDA / CCD XML clinical documents to extract human-readable section narrative plus coded entries, keyed by section LOINC codes and templateIds. Use before OpenMed processing when ingesting C-CDA R2.1 documents (CCD, Discharge Summary, H&P, Consultation Note) exported from an EHR and you need the narrative…
nsfc-budget
A tool that creates an editable LaTeX budget justification and renders it as a PDF for an NSFC research-funding application. NSFC is China’s National Natural Science Foundation, and a budget justification explains why proposed costs are needed.
paper-plot-stub
Plot a results CSV (x, ybaseline, yours) as a two-line matplotlib chart and write a PDF. Demo-only.