conductai CLAUDE.md

conductai CLAUDE.md is an instructions file for coding agents from sseshachala/conductai. It costs 2,879 tokens per session, scanned C, original, Apache-2.0.

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

In plain words
What is it for?
They guide work on Conduct playbooks, agent prompts, chained blocks, memory steps, single-turn JSON output, and RTK-prefixed commands.
Why use it?
They keep changes to automated agent workflows consistent and require checks around planning, memory, turn limits, and sandboxed work.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/sseshachala/conductai/claude-md
Clone the repo
git clone --depth 1 https://github.com/sseshachala/conductai

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 conductai CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sseshachala/conductai/claude-md.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.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,879 This file is loaded in full into every session.
When invoked 2,879 The same file — it is already loaded in full.
Security scan C 2 findings. Scan, not verified.
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 $0.02879 $0.02879
Opus 5 $0.01439 $0.01439
Sonnet 5 $0.00576 $0.00576
Haiku 4.5 $0.00288 $0.00288

Measured yesterday against content hash 563438c0c436, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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.

<!-- rtk-instructions v2 -->

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 — a YAML playbook platform that turns AI agents into reusable team automations, with a FastAPI backend, Next.js canvas UI, Redis worker, and 39 playbooks covering GitHub, Slack, CI/CD, and incident response workflows.

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.

  1. yesterday Changed · -2 tokens per session 563438c0c436
  2. 5d 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 (30 stars, last pushed today), licensed Apache-2.0. It adds 2,879 tokens to every session, about $0.0144 per session on Opus 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.