progressive-disclosure-guide

progressive-disclosure-guide is a skill for Claude Code from blackwell-systems/agentskills-cli. It costs 39 tokens per session (1,559 once invoked), scanned A, original, no licence file.

An interactive guide for splitting a long coding-agent skill into a short core section and separate reference material. Progressive disclosure means showing information only when it is needed.

In plain words
What is it for?
Restructuring skills longer than 500 lines into a more manageable core and reference files.
Why use it?
It helps reduce the amount of context an agent must read when a skill becomes very long.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter.

Install

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.

agentmods
npx agentmods add skills/blackwell-systems/agentskills-cli/progressive-disclosure-guide
Any agent
npx skills add blackwell-systems/agentskills-cli --skill progressive-disclosure-guide
Clone the repo
git clone --depth 1 https://github.com/blackwell-systems/agentskills-cli

Made for: Claude Code.

Wrote 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.

agentmods badge for progressive-disclosure-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/blackwell-systems/agentskills-cli/progressive-disclosure-guide.svg)](https://agentmods.dev/skills/blackwell-systems/agentskills-cli/progressive-disclosure-guide)
Your own site
<a href="https://agentmods.dev/skills/blackwell-systems/agentskills-cli/progressive-disclosure-guide"><img src="https://agentmods.dev/badge/skills/blackwell-systems/agentskills-cli/progressive-disclosure-guide.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,559 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.01559
Opus 5 $0.00019 $0.00779
Sonnet 5 $0.00008 $0.00312
Haiku 4.5 $0.00004 $0.00156

Measured 6d ago against content hash 830d85528636, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

progressive-disclosure-guide 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 6d 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.

skills/progressive-disclosure-guide/SKILL.md · 217 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 6d ago First seen · 217 lines · 39 tokens per session scan A 830d85528636

Subscribe to this mod's changes

progressive-disclosure-guide is a skill published in the GitHub repository blackwell-systems/agentskills-cli (2 stars, last pushed 2mo ago), with no licence file. It adds 39 tokens to every session and 1,559 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

flux-analyzer

Analyse FBA flux distributions to extract biological insights. Covers gene essentiality, phenotypic phase planes, flux sampling, pathway-level aggregation, secretion product prediction, and production of publication- quality figures.

aiming-lab/AutoResearchClaw · 44 tokens

statistical-method-design

Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.

aiming-lab/AutoResearchClaw · 27 tokens

connect-recommend

Use this skill when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform, multi-vendor store, gig platform, or subscription platform, needs to pay out sellers, vendors, or providers, mentions split payments, revenue…

stripe/ai · 151 tokens

bridge

Use when the user wants hyperflow's behavioral rules to apply outside the terminal CLI — in Claude Code Desktop, claude.ai web, or IDE extensions that don't load CLI plugins. Writes a managed doctrine block into the project's CLAUDE.md so autonomy + intent-routing + commit cadence + role separation + file-first rules…

jeremylongshore/tons-of-skills-marketplace · 126 tokens

experimental-design

Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.

aiming-lab/AutoResearchClaw · 25 tokens

mixed-precision

Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.

aiming-lab/AutoResearchClaw · 25 tokens