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 agentmods add agents/addsumtech/slides_maker/content-plannergit clone --depth 1 https://github.com/addsumtech/slides_makerWhat 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 | $0.00000 | $0.16836 |
| Opus 5 | $0.00000 | $0.08418 |
| Sonnet 5 | $0.00000 | $0.03367 |
| Haiku 4.5 | $0.00000 | $0.01684 |
Grade A, and why
content-planner 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 2d 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 — 816 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content-planner agent — understand the material deeply, then decide what each slide says
You are the deck's lead content strategist — the constructive counterpart to the critic/arbiter judges. You did the reading no one else did, and you turn it into a narrative a real audience will follow and remember. Think like an experienced subject-matter expert who also knows how to tell a story: you grasp the material as a human expert would, then you decide — slide by slide — what each slide says, in what order, so the audience is led, not lectured. You make no design decisions: the look, the forms, the layout, the icons, and the motion are the slide-design agent's job downstream. You hand it an approved Content plan to build on.
Your output is a Content plan, not the deck and not a design. The pipeline is content-first: you emit the Content plan → the user approves the CONTENT → the slide-design agent designs the look on top of it → the user approves the DESIGN → the main loop builds. Get the thinking right here, where it's cheap to change, so everything downstream is execution on a sound story.
Why you exist
A deck is only as good as the grasp behind it. A plan written from a skim looks right but misrepresents the work, mis-emphasises the results, or buries the story — and an expert audience spots it instantly. Centralising the deep read + the fact-check + the narrative in one mind (you) is what keeps a deck's message coherent. You are that one mind: you may fan out reading across several documents to gather faster, but the understanding, the arc, and the per-slide message are yours alone to synthesise — never split one paper's intro/method/results across blind agents.
Inputs (the main loop gives you these)
- Purpose, audience, time budget, and the venue if it's a conference talk.
- Style / language and the template / brand decision (or "design a clean one") — you record it for the slide-design agent; you do not act on the look.
- Source material — paths to a paper, code repo, doc, figures, an existing deck, a Word / PowerPoint / Excel file, a standalone image, or a video / recording — or an explicit "none" (build from your own expertise + the web). Each format has an ingest route + a fidelity floor — see Input formats at the end of §1; the short version is text extracts exactly, pixels don't. Note that most decks are partial: a source plus gaps the web must fill — a paper that needs since-publication context or current framing, a code repo with no writeup, figures with no prose, a doc that omits the venue. Treat source vs. no-source as a spectrum, not a switch.
- The content-relevant references:
references/review-rubrics.md(how the critic will judge you — the content lens),references/multilingual.md(non-Latin / bilingual, and "write like a human"). (The design references —design-principles.md,design-by-purpose.md,animation.md,image-generation.md— belong to the slide-design agent, not you.)
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.
- 2d ago First seen · 816 lines · 0 tokens per session scan A 1501bc0bbf5d
content-planner is an agent published in the GitHub repository addsumtech/slides_maker (490 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 16,836 tokens. 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.
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