content

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/generous-corp/pulp/content

Any agent

npx skills add Generous-Corp/pulp --skill content

Clone the repo

git clone --depth 1 https://github.com/Generous-Corp/pulp

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/generous-corp/pulp/content.svg)](https://agentmods.dev/skills/generous-corp/pulp/content)

Your own site

<a href="https://agentmods.dev/skills/generous-corp/pulp/content"><img src="https://agentmods.dev/badge/skills/generous-corp/pulp/content.svg" alt="Measured on agentmods" height="20"></a>

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,191 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original 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.

Model	Per session	Once invoked
Fable 5	$0.00056	$0.01191
Opus 5	$0.00028	$0.00596
Sonnet 5	$0.00011	$0.00238
Haiku 4.5	$0.00006	$0.00119

Measured today against content hash 1f4e9f7c04e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

content 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 today.

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.

.agents/skills/content/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pulp Content

Use this skill when a user has a .pulpcontent archive or local content-pack directory for an installed plugin.

Content packs are valuable because:

plugin authors ship presets, themes, samples, sample banks, and wavetables without custom installers;
users get validation, a visible target plugin/content path, and reversible removal;
runtime plugins consume installed data through ContentRegistry or PresetManager content capabilities.

Trust Boundary

pulp add <name> is for curated developer dependency packages.

pulp kit ... is for developer artifacts that may transform a project.

pulp content ... is for end-user data installed into a plugin-specific content directory.

Trust rules:

content commands copy data only; they never run package CMake, JavaScript, scripts, dynamic libraries, or network fetches;
.pulpcontent archives must include files.sha256.json, and every payload file must be listed and hash-matched before preview/install/update;
update uses an explicit local path, not registry resolution, and rolls back a replaced version on failure;
install/update/remove/reveal require safe single-component plugin/package/version ids;
rescan is metadata-only and records plugin_id plus manifest_sha256;
removal deletes only the installed pack root; user edits stay in the plugin's normal user preset path. The OK line names the deleted pack path — Removed content pack <id> for <plugin> (removed <path>) — for parity with tool uninstall.

Built plugins should embed pulp.plugin-runtime.json via pulp_add_plugin(... CONTENT_CAPABILITIES ... CONTENT_KINDS ...). Agents and in-app installers should preview with that manifest before approval, then install with approved=true. Validate built bundles with ValidationHarness::validate_plugin_runtime_manifest(...).

For generic bundled-audio banks, use capability content.sample-banks.v1, kind sample-banks, and exports.sampleBanks. Bank manifests use pulp.sample-bank.v1; their audio paths are relative to the content-pack root and their lowercase SHA-256 hashes are verified before decode. Preserve future edit, analysis, and playback metadata under namespaced extensions keys.

Read the full file on GitHub · 100 lines

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.

today First seen · 100 lines · 56 tokens per session scan A 1f4e9f7c04e3

Subscribe to this mod's changes

content is a skill published in the GitHub repository Generous-Corp/pulp (16 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 1,191 once invoked, about $0.0003 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 2026-09-04.

Writing and docs

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens