Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add jamditis/claude-skills-journalism/plugin install pdf-playgroundWrote 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/commands/jamditis/claude-skills-journalism/proposal)<a href="https://agentmods.dev/commands/jamditis/claude-skills-journalism/proposal"><img src="https://agentmods.dev/badge/commands/jamditis/claude-skills-journalism/proposal.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 | $0.00010 | $0.02649 |
| Opus 5 | $0.00005 | $0.01324 |
| Sonnet 5 | $0.00002 | $0.00530 |
| Haiku 4.5 | $0.00001 | $0.00265 |
Grade A, and why
proposal 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 8d 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a print-ready HTML funding proposal document using a guided wizard.
Version check
Read the plugin version from ${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json and note it. If the file doesn't exist or the read fails, warn the user that the plugin may not be properly installed.
Setup
- Check for brand configuration at
.claude/pdf-playground.local.md - If found, parse the YAML frontmatter for brand settings
- If not found, ask the user for their organization name and primary brand color
- Load the proposal template from
${CLAUDE_PLUGIN_ROOT}/templates/proposal-template.html - Read the document-design skill for CSS patterns
Project name
The project name is: $ARGUMENTS
If no project name provided, ask the user in Phase 1 below.
Phase 1, Content setup
Gather requirements using AskUserQuestion before generating anything.
Q1: Proposal type
AskUserQuestion:
question: "What type of proposal is this?"
header: "Type"
options:
- label: "Funding proposal"
description: "Request for grant funding or financial support from a foundation or government agency"
- label: "Partnership pitch"
description: "Pitch to a potential partner organization for a collaborative project"
- label: "Program overview"
description: "Summary of an existing program for stakeholders or board members"
Q2: Sections to include
AskUserQuestion:
question: "Which sections should be included?"
header: "Sections"
multiSelect: true
options:
- label: "Background"
description: "Context, history, and research supporting the need"
- label: "Proposed work"
description: "Priorities, deliverables, and what the funding supports"
- label: "Case studies"
description: "Evidence of past success with named examples"
- label: "Budget"
description: "Itemized budget table with totals"
Q3: Page count
AskUserQuestion:
question: "How many pages should the proposal be?"
header: "Pages"
options:
- label: "3 pages (compact)"
description: "Cover + 2 content pages. Good for quick briefs."
- label: "4 pages (standard)"
description: "Cover + background + proposed work + budget"
- label: "5 pages (full)"
description: "Cover + background + proposed work + case studies + budget"
- label: "6+ pages (detailed)"
description: "Full proposal with extra room for evidence and appendices"
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.
- 8d ago First seen · 328 lines · 10 tokens per session scan A ec1a3bef5db3
proposal is a command published in the GitHub repository jamditis/claude-skills-journalism (387 stars, last pushed 3d ago), licensed MIT. It adds 10 tokens to every session and 2,649 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
export-latex
Export the current paper draft to production-ready LaTeX (.tex) and PDF using the arxiv-style template. Converts draft.md + references.bib + figures/ into a complete LaTeX project with resolved citations, tables, and figures. Compiles to PDF automatically.
ars-mark-read
ARS /ars-mark-read — record human-read signal for one or more citation keys.
ars-format-convert
ARS academic-paper format-convert mode — convert to LaTeX / DOCX / PDF / Markdown.
audit-xls
Audit an Excel workbook — formula errors, hardcoded cells, calculation arc cross-validation.
generate-pdf-document
Specify a generated PDF that survives variable content, with fonts, page breaks, and accessibility handled.
analyze-writing
Analyze academic writing quality of the current draft. Checks for passive voice overuse, weak openings, hedging balance, readability, sentence length variation, and word repetitions. Produces a writing quality report with specific improvement suggestions per section.