selectools: Skill for Claude Code

.claude/skills/feature/SKILL.md

feature is a skill for Claude Code from johnnichev/selectools. It costs 20 tokens per session (1,550 once invoked), scanned A, original, Apache-2.0.

A workflow for implementing a complete Selectools feature across code, public exports, tests, documentation, examples, and a getting-started notebook.

In plain words
What is it for?
Use it when adding a feature that must be integrated throughout the project and checked against its existing version, tests, examples, and agent architecture.
Why use it?
It reduces the chance that a feature works in code but is missing tests, documentation, examples, or the public interface users need.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is johnnichev/selectools's own configuration. It tells Claude Code how to work on selectools itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything selectools configures →

Reuse

Borrowing it

Nothing to install: this file belongs to johnnichev/selectools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/johnnichev/selectools/main/.claude/skills/feature/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/johnnichev/selectools

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 feature

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/johnnichev/selectools/feature"><img src="https://agentmods.dev/badge/skills/johnnichev/selectools/feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,550 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.
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 $0.00020 $0.01550
Opus 5.5 $0.00008 $0.00620
Sonnet 5.5 $0.00004 $0.00310
Haiku 4.5 $0.00002 $0.00155

Measured 2mo ago against content hash 449a00be7ec7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature 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 2mo 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/feature/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Implementation

Implement the following feature: $ARGUMENTS

Live Project State

  • Version: !grep -m1 __version__ src/selectools/__init__.py
  • Tests: !pytest tests/ --collect-only -q 2>/dev/null | tail -1
  • Last example: !ls examples/*.py | tail -1
  • Next example number: use the next zero-padded number after the last one above
  • StepTypes: !python3 -c "from selectools.trace import StepType; print(len(StepType))" 2>/dev/null
  • Observer events: !python3 -c "from selectools.observer import AgentObserver; import inspect; print(len([m for m in dir(AgentObserver) if m.startswith('on_')]))" 2>/dev/null

1. Cross-Feature Impact Analysis

Before writing code, determine:

  • Does this touch agent/core.py? If so, follow the execution flow: _prepare_run → cancellation check → budget check → model selection → on_iteration_start → provider call → _process_response → guardrails → parser → policy → coherence → tool execution → post-tool cancellation check → on_iteration_end
  • Does AgentConfig in agent/config.py need new fields?
  • Does __init__.py need new public exports?
  • Does trace.py need new StepType values? (currently 16)
  • Does observer.py need new events? If so, add to ALL FOUR classes:
    • AgentObserver (no-op default)
    • AsyncAgentObserver (async no-op)
    • LoggingObserver (JSON emission via _emit())
    • SimpleStepObserver (delegate to self._cb())
  • Does AgentResult need new fields?
  • Update tests/test_phase1_design_patterns.py StepType count if adding new types

2. Write Source Code

New module pattern:

"""Module docstring — one line."""

from __future__ import annotations

from dataclasses import dataclass
from typing import Any, Dict, List, Optional

# Lazy imports for optional deps
try:
    import some_lib
except ImportError:
    some_lib = None  # type: ignore[assignment]

For agent loop changes — add to the shared helpers (_check_budget, _build_cancelled_result, etc.) rather than duplicating in run()/arun()/astream(). Use _RunContext to carry per-run state.

Read the full file on GitHub · 157 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.

  1. 2mo ago First seen · 157 lines · 20 tokens per session scan A 449a00be7ec7

Subscribe to this mod's changes

feature is a skill published in the GitHub repository johnnichev/selectools (11 stars, last pushed 4d ago), licensed Apache-2.0. It adds 20 tokens to every session and 1,550 once invoked, about $0.0001 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 2026-08-30.

Related

feature compared with skills from other repositories

feature next to 6 skills from other repositories
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