What is conductai CLAUDE.md?

Repository instructions for Conduct, a platform that turns AI agents into reusable team workflows, including rules for its playbooks and command use.

They guide work on Conduct playbooks, agent prompts, chained blocks, memory steps, single-turn JSON output, and RTK-prefixed commands.

They keep changes to automated agent workflows consistent and require checks around planning, memory, turn limits, and sandboxed work.

How sseshachala/conductai configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to sseshachala/conductai. 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/sseshachala/conductai/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/sseshachala/conductai

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/sseshachala/conductai/claude-md/github.svg)](https://agentmods.dev/instructions/sseshachala/conductai/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/sseshachala/conductai/claude-md"><img src="https://agentmods.dev/badge/instructions/sseshachala/conductai/claude-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/sseshachala/conductai/claude-md"><img src="https://agentmods.dev/badge/instructions/sseshachala/conductai/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,889 This file is loaded in full into every session.

When invoked 2,889 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.

Model	Per session	Once invoked
Fable 5.1	$0.02889	$0.02889
Opus 5.5	$0.01156	$0.01156
Sonnet 5.5	$0.00578	$0.00578
Haiku 4.5	$0.00289	$0.00289

Measured 15d ago against content hash 89d6d12c96ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

conductai 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 15d 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

Makes network callslowCapability

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

rtk curl <url> # Compact HTTP responses (70%)

CLAUDE.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conduct

About

Owner: Sudhi Purpose: Building Conduct — runtime governance for AI agents (Guard: one policy across LLM gateway, MCP, CLI). Workflows are a Guard feature: governed-response playbooks (incident response, approved prod changes, autopilot fixes). FastAPI backend, Next.js UI, Redis worker, 20 playbooks.

Agent Work — Always-On Watchdog

When working on playbooks (apps/api/playbooks/), brain block prompts, turn budgets, or block chaining: activate /agent-builder skill. It enforces the review checklist for every agent capability change:

Per-block max_turns set explicitly
plan_fix (mode: single) before any mode: agentic block
Memory blocks: recall_context before, record_outcome after
Single-turn blocks output JSON only — no prose
Proxy mode: one run_shell packs everything; sandbox: no GitHub API calls

RTK (Rust Token Killer) - Token-Optimized Commands

Golden Rule

Always prefix commands with rtk. If RTK has a dedicated filter, it uses it. If not, it passes through unchanged. This means RTK is always safe to use.

Important: Even in command chains with &&, use rtk:

# ❌ Wrong
git add . && git commit -m "msg" && git push

# ✅ Correct
rtk git add . && rtk git commit -m "msg" && rtk git push

RTK Commands by Workflow

Build & Compile (80-90% savings)

rtk cargo build         # Cargo build output
rtk cargo check         # Cargo check output
rtk cargo clippy        # Clippy warnings grouped by file (80%)
rtk tsc                 # TypeScript errors grouped by file/code (83%)
rtk lint                # ESLint/Biome violations grouped (84%)
rtk prettier --check    # Files needing format only (70%)
rtk next build          # Next.js build with route metrics (87%)

Test (60-99% savings)

rtk cargo test          # Cargo test failures only (90%)
rtk go test             # Go test failures only (90%)
rtk jest                # Jest failures only (99.5%)
rtk vitest              # Vitest failures only (99.5%)
rtk playwright test     # Playwright failures only (94%)
rtk pytest              # Python test failures only (90%)
rtk rake test           # Ruby test failures only (90%)
rtk rspec               # RSpec test failures only (60%)
rtk test <cmd>          # Generic test wrapper - failures only

Read the full file on GitHub · 257 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.

15d ago Changed · +10 tokens per session 89d6d12c96ea
1mo ago Changed · -2 tokens per session 563438c0c436
1mo ago First seen · 257 lines · 2,881 tokens per session scan C 9c02e3b57918

Subscribe to this mod's changes

conductai CLAUDE.md is an instructions file published in the GitHub repository sseshachala/conductai (32 stars, last pushed 3d ago), licensed Apache-2.0. It adds 2,889 tokens to every session, about $0.0116 per session on Opus 5.5. A static security scan graded it C with 2 findings (hidden instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

LLM ai-agents claude fastapi nextjs yaml

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,649 tokens

conductai: Instructions file for Claude Code