initrunner: Instructions file for Claude Code

CLAUDE.md

initrunner CLAUDE.md is an instructions file for Claude Code from vladkesler/initrunner. It costs 3,405 tokens per session, scanned C, original, Apache-2.0.

A project guide for InitRunner, a Python platform where agents are defined in YAML files and run as commands, interactive sessions, background services, or API servers. It also describes multi-agent workflows and the project’s main folders.

In plain words
What is it for?
Use it when working on agent roles, tools, credentials, audit records, flows, the command-line interface, or the SvelteKit dashboard. It also helps locate the relevant package areas.
Why use it?
It gives an agent the project’s configuration model and code layout before it changes or extends the platform.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is vladkesler/initrunner's own configuration. It tells Claude Code how to work on initrunner 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 initrunner configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vladkesler/initrunner. 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/vladkesler/initrunner/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/vladkesler/initrunner

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 3,405 This file is loaded in full into every session.
When invoked 3,405 The same file — it is already loaded in full.
Security scan C 2 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 $0.03405 $0.03405
Opus 5.5 $0.01362 $0.01362
Sonnet 5.5 $0.00681 $0.00681
Haiku 4.5 $0.00341 $0.00341

Measured 1mo ago against content hash c81dbfdf5dea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

initrunner CLAUDE.md scanned grade C with 2 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

| Installer script internals (`curl \| sh`) | `docs/getting-started/installer.md` |

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| Installer script internals (`curl \| sh`) | `docs/getting-started/installer.md` |
CLAUDE.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

InitRunner

YAML-first AI agent platform: define agents as declarative role.yaml files (model, tools, triggers, ingestion, guardrails) and run them as one-shot commands, interactive REPLs, trigger-driven daemons, or OpenAI-compatible API servers. Multi-agent orchestration via flow.yaml.

Python 3.11+ with PydanticAI (agent framework), Pydantic (config/validation), Typer + Rich (CLI), SQLite (audit), LanceDB (vector stores), hatchling (build), uv (package manager). Web dashboard frontend is SvelteKit, managed with pnpm.

Project map

initrunner/              # main package (flat layout)
├── a2a/                 # A2A (agent-to-agent) protocol server
├── agent/               # role schema/, loader, executor, capabilities/, runtime_sandbox/
│   └── tools/           # self-registering tool modules
├── audit/               # append-only SQLite audit trail
├── cli/                 # Typer CLI entry point
├── credentials/         # credential resolution + encrypted vault
├── dashboard/           # FastAPI backend for the web UI
├── eval/                # eval framework: test roles against prompt suites
├── flow/                # multi-agent orchestration (flow.yaml)
├── ingestion/           # document pipeline: extract, chunk, embed, store
├── jev/                 # optional Jev typed judgments: client.py (only typesafe_sdk importer), questions.py
├── mcp/                 # MCP server integration
├── packaging/           # OCI bundles: build, push, pull
├── registry/            # community role registry (install, search, manage)
├── runner/              # single-shot, REPL, autonomous, daemon modes
├── server/              # OpenAI-compatible HTTP API server
├── services/            # shared sync business logic (CLI is a thin wrapper over this)
│   └── presets.py       # custom-provider preset definitions (OpenRouter etc.)
├── sinks/               # flow output sinks (file, webhook, custom)
├── stores/              # DocumentStore + MemoryStore ABCs and LanceDB impls
├── team/                # team mode: one-shot multi-persona collaboration
├── telemetry/           # opt-in anonymous usage telemetry (PostHog)
├── triggers/            # cron, file watcher, webhook triggers
├── _compat.py           # optional dependency helpers
└── _html.py             # HTML fetch + markdown conversion
dashboard/               # SvelteKit web UI frontend (pnpm workspace)
tests/                   # pytest suite, mirrors source layout
examples/                # example role and flow YAML files
schemas/                 # agent.v3.json, generated by `initrunner schema` (test keeps it current)
docs/                    # detailed documentation by subsystem (index below)
scripts/                 # release.sh, build-dashboard.sh, dev scripts
deploy/                  # Docker entrypoint, fly.toml

Read the full file on GitHub · 203 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. 1mo ago Changed · +2 lines · +56 tokens per session c81dbfdf5dea
  2. 1mo ago Changed · +2 lines · +54 tokens per session 85f26a8945af
  3. 2mo ago First seen · 199 lines · 3,295 tokens per session scan C 3d0ab429bd61

Subscribe to this mod's changes

initrunner CLAUDE.md is an instructions file published in the GitHub repository vladkesler/initrunner (40 stars, last pushed 21d ago), licensed Apache-2.0. It adds 3,405 tokens to every session, about $0.0136 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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