Universal environment variable loader for AI agent environments. Loads secrets and config from Claude.ai, Claude Code, OpenAI Codex, Jules, and standard .env files.
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Unified configuration management across AI coding environments. Load environment variables, secrets, and other opinionated configuration setups from any AI coding platform.
import sys
sys.path.insert(0, '/path/to/claude-skills') # or wherever skills are installed
from configuring import get_env, detect_environment
# Get a variable (searches all sources automatically)
token = get_env("TURSO_TOKEN", required=True)
# With default
port = get_env("PORT", default="8080")
# What environment are we in?
env = detect_environment() # "claude.ai", "claude-code-desktop", "codex", "jules", etc.
| Environment | Config Sources |
|---|---|
| Claude.ai Projects | /mnt/project/*.env, /mnt/project/*-token.txt |
| Claude Code | ~/.claude/settings.json (env block), .claude/settings.json |
| OpenAI Codex | ~/.codex/config.toml, setup script → ~/.bashrc, shell_snapshots/*.sh |
| Jules | Environment settings UI, .env in repo |
| Universal | os.environ, .env, .env.local |
# Core
get_env(key, default=None, *, required=False, validator=None) -> str | None
load_env(path) -> dict[str, str] # Load specific file
load_all(force_reload=False) -> dict # Load all sources
# Utilities
detect_environment() -> str # Current platform
mask_secret(value, show_chars=4) -> str # Safe logging
debug_info() -> dict # Troubleshooting
get_loaded_sources() -> list[str] # What was checked
.env files (KEY=value):
TURSO_TOKEN=eyJhbGciOiJFZERTQSI...
EMBEDDING_API_KEY=sk-svcacct-...
Single-value files (*-token.txt, *-key.txt):
eyJhbGciOiJFZERTQSI...
Filename becomes key: turso-token.txt → TURSO_TOKEN
Claude Code settings.json:
{
"env": {
"TURSO_TOKEN": "eyJhbGciOiJFZERTQSI..."
}
}
Later sources override earlier:
.env files in cwdimport sys
sys.path.insert(0, '/path/to/claude-skills')
from configuring import debug_info
print(debug_info())
# {'environment': 'claude.ai', 'sources': ['os.environ', 'claude.ai:/mnt/project/'], ...}
CLI:
cd /path/to/claude-skills/configuring
python scripts/getting_env.py # Show debug info
python scripts/getting_env.py TURSO_TOKEN # Get specific key
Replace:
# Old (api-credentials)
from credentials import get_anthropic_api_key
key = get_anthropic_api_key()
# Old (getting-env)
from getting_env import get_env
key = get_env("ANTHROPIC_API_KEY")
# New (configuring)
import sys
sys.path.insert(0, '/path/to/claude-skills')
from configuring import get_env
key = get_env("ANTHROPIC_API_KEY", required=True)
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GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
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Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when choosing a subagent's model or effort, when choosing how to escalate a failed attempt, or when asked which model or effort a task should get. Grounded in a 2026-07 calibration, a 2026-08 coding-cost study, a 2026-09 seeded-bug repair battery, a 2026-10 Haiku 5.5 ladder priced per spawn, and a 2026-10 retry-versus-escalation ladder on 295 SWE-bench Verified tasks; Managed Agents API specifics are operational, not calibrated.
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Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
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Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
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Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.
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Read Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.
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