Pynchy Development

Pynchy Development is a skill for Claude Code from crypdick/pynchy. It costs 79 tokens per session (1,227 once invoked), scanned A, original, MIT.

A development guide for working on Pynchy, the application and agent system. It covers local commands, isolated feature runtimes, host checks, and finding current library documentation.

In plain words
What is it for?
Running the app and tests, linting and formatting code, running repository hooks, rebuilding the agent container, checking agent traces, and using managed feature runtimes.
Why use it?
It reduces guesswork about which commands and environment to use when testing, formatting, rebuilding, or debugging Pynchy.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./src/pynchy/agent/build.sh # Rebuild agent container.

Good fit Running the app and tests, linting and formatting code, running repository hooks, rebuilding the agent container, checking agent traces, and using managed feature runtimes.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/crypdick/pynchy
agentmods
npx agentmods add skills/crypdick/pynchy/pynchy-dev

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 Pynchy Development

README.md
[![agentmods](https://agentmods.dev/badge/skills/crypdick/pynchy/pynchy-dev/github.svg)](https://agentmods.dev/skills/crypdick/pynchy/pynchy-dev)
Your own site
<a href="https://agentmods.dev/skills/crypdick/pynchy/pynchy-dev"><img src="https://agentmods.dev/badge/skills/crypdick/pynchy/pynchy-dev/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.

agentmods 80×15 button for Pynchy Development

Your own site · 80×15
<a href="https://agentmods.dev/skills/crypdick/pynchy/pynchy-dev"><img src="https://agentmods.dev/badge/skills/crypdick/pynchy/pynchy-dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,227 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 21
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.01227
Opus 5.5 $0.00032 $0.00491
Sonnet 5.5 $0.00016 $0.00245
Haiku 4.5 $0.00008 $0.00123

Measured 1mo ago against content hash 3f34c8dc9d34, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Pynchy Development 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.

.claude/skills/pynchy-dev/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pynchy Development

Run commands directly—don't tell the user to run them.

Am I on pynchy?

Check hostname and compare it with the deployment-specific live host from local memory, environment, or the operator. If you are on that host, access services at localhost. Otherwise, reach Pynchy over SSH or Tailscale using that configured host.

Commands

uv run pynchy            # Run the app
uv run pytest tests/     # Run tests
uv run ruff check --fix src/  # Lint + autofix
uv run ruff format src/       # Format
uvx prek==0.4.10 run --all-files  # Run all repository hooks
./src/pynchy/agent/build.sh     # Rebuild agent container

Managed worktrees and optional runtimes

Use new-feature create <slug> --no-agent from the control checkout before any source or documentation edit. Work in the resulting .worktrees/<slug> directory; direct edits on the target branch are blocked. Setup installs dependencies but does not start a runtime. Start an isolated Pynchy runtime only when interactive diagnosis needs one. See the feature-runtime workflow for create, merge, restart, and teardown commands. Do not use raw git worktree commands for managed features. Install or verify its host dependencies with ./scripts/install_new_feature_dependencies.py.

Private overlay edits belong in the independent personalization repository's own managed worktree, not in the public Pynchy worktree. See editing personalization.

Quality checks

Keep correctness, security, architecture, and coverage checks blocking. The comment-language check is advisory. Host beartype violations warn in production and fail tests; fix the contract or test double instead of suppressing violations. Host annotations used by beartype need runtime imports; Ruff's host configuration handles this without per-import exemptions. Agent-runner uses its own lint config.

Run focused checks while editing a coherent change. The managed merge owns the full verification sequence; repeat it only after changes or unresolved failures.

Read the full file on GitHub · 96 lines

Files

What ships with it

4 files 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.

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. 1mo ago Changed 3f34c8dc9d34
  2. 1mo ago Changed · +18 lines 16c672d09dfe
  3. 1mo ago First seen · 78 lines · 79 tokens per session scan A 6499cd93393a

Subscribe to this mod's changes

Pynchy Development is a skill published in the GitHub repository crypdick/pynchy (10 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 1,227 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 2026-08-31.

Related

Other skills, from other repositories

add-opencode

Use OpenCode as an agent provider. OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per group via ncl groups config update --provider opencode; host passes OPENCODE and XDG mount when spawning containers.

nanocoai/nanoclaw · 65 tokens

migrate-from-openclaw

Migrate from OpenClaw to NanoClaw v2. Detects an existing OpenClaw installation, extracts identity, channel credentials, scheduled tasks, and other config, then guides interactive migration. Triggers on "migrate from openclaw", "openclaw migration", "import from openclaw".

nanocoai/nanoclaw · 71 tokens

add-dial-tool

Give chosen NanoClaw agents a real phone number as a container tool — the dial CLI baked into the agent image plus OneCLI credential injection for api.getdial.ai, scoped per agent, so the agents you pick can send SMS, place AI voice calls, and receive verification codes from inside the sandbox. Independent of the Dial…

nanocoai/nanoclaw · 117 tokens

add-imessage

Add iMessage to NanoClaw — one channel, two backends. Local (this Mac's chat.db via the Chat SDK bridge; macOS + Full Disk Access) or Hosted iMessage (via photon.codes — native spectrum-ts with a device-login wizard; any OS, no Mac relay). Triggers on "add imessage", "connect imessage", "add photon", "imessage via…

nanocoai/nanoclaw · 92 tokens

add-telegram

Add Telegram channel integration via Chat SDK.

nanocoai/nanoclaw · 12 tokens

migrate-slack-agents

Migrate a classic single-bot Slack install to one provisioned Slack app per existing agent group while preserving agent identities, workspaces, memory, and wiring behavior — or record the operator's choice to stay on classic, which remains supported. Use when /update-nanoclaw surfaces the Slack agents requirement, or…

nanocoai/nanoclaw · 75 tokens