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 taivop/marketplace --skill incremental-revealgit clone --depth 1 https://github.com/taivop/marketplaceWrote 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/taivop/marketplace/incremental-reveal)<a href="https://agentmods.dev/skills/taivop/marketplace/incremental-reveal"><img src="https://agentmods.dev/badge/skills/taivop/marketplace/incremental-reveal/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/taivop/marketplace/incremental-reveal"><img src="https://agentmods.dev/badge/skills/taivop/marketplace/incremental-reveal.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 | $0.00077 | $0.01423 |
| Opus 5.5 | $0.00031 | $0.00569 |
| Sonnet 5.5 | $0.00015 | $0.00285 |
| Haiku 4.5 | $0.00008 | $0.00142 |
Grade A, and why
incremental-reveal 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 1mo 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incremental reveal
A human reads top-down. The paragraph resolving a confusion is not in their head yet when they hit the confusion. You read the whole text at once, so that confusion never happens to you — you resolve every ambiguity from context the reader does not have yet.
That blindness is specific. You will not notice a heading that misleads until the section under it is read, a term used before it is defined, a sentence that contradicts the previous one until a later one reconciles them, or the fact that the actual argument does not arrive until 80% of the way in. Reading the text again more carefully does not help, because the knowledge causing the blindness is already in your head.
The fix is structural, not effortful: read prefixes, in parallel, with separate readers who each know nothing.
The method
For a piece of N paragraphs, run N independent readings. Reading i sees
paragraphs 1..i and nothing else. Reading 3 gets paragraphs 1, 2 and 3 — as a
fresh read, not a continuation of reading 2.
- Split. One file per paragraph in reading order, numbered
01…NN. The title is unit 01. Keep a list with the sentence introducing it. For slides or carousels, one image per slide. Strip anything that leaks the ending: frontmatter, editing notes, changelogs, the source URL. - Build prefixes.
prefix-NNcontains paragraphs 1..NN concatenated. - Spawn N readers at once, in a single message so they run concurrently. Each gets exactly one prefix. Cap it at 20 at a time — beyond that most harnesses queue anyway, and the marginal reader tells you little. For a piece longer than 20 paragraphs, either run the prefixes in batches or split on sections rather than paragraphs.
- Synthesise from what the readers reported.
The reader prompt
Give each reader this, and nothing else:
Read the file
<prefix path>. It is a piece of writing that may be complete, or may stop partway through — you have no way of knowing which, and you must not try to find out. Read nothing else: no other file, no web search, no looking for the source, the author, or any context. Do not spawn subagents.You are an honest, slightly impatient reader — the kind who abandons things. Having read up to where the text stops, answer:
- What do you think this piece is about? One sentence.
- Anything confusing, or that made you stop and re-read? Quote it.
- Would you keep reading, or drop off here? Why? Be blunt.
- What question do you now expect to be answered?
Write your four answers to
<out path>and reply with just that path.
What ships with it
1 file 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.
- 1mo ago First seen · 124 lines · 77 tokens per session scan A 02138248a2b0
incremental-reveal is a skill published in the GitHub repository taivop/marketplace (17 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,423 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-04.
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