dogma: Agent for Claude Code

.github/agents/d5-knowledge-base.agent.md

D5 Knowledge Base is an agent for Claude Code from EndogenAI/dogma. It costs 35 tokens per session (1,496 once invoked), scanned A, original, Apache-2.0.

A project agent that maintains `OPEN_RESEARCH.md`, a file used as a living list of unanswered research questions. It tracks research status, removes completed items when a synthesis document exists, and suggests new questions from gaps in the project’s research documents.

In plain words
What is it for?
Use it to update research-item statuses, retire completed questions, prioritise the next candidates, and propose new questions based on gaps in existing research.
Why use it?
It keeps an open-research list aligned with what the project has already learned. This helps prevent finished work from remaining in the queue and highlights missing areas for future investigation.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions AGENTS.md.

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

Reuse

Borrowing it

Nothing to install: this file belongs to EndogenAI/dogma. 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/EndogenAI/dogma/main/.github/agents/d5-knowledge-base.agent.md
Clone the repo
git clone --depth 1 https://github.com/EndogenAI/dogma

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 D5 Knowledge Base

README.md
[![agentmods](https://agentmods.dev/badge/agents/endogenai/dogma/d5-knowledge-base/github.svg)](https://agentmods.dev/agents/endogenai/dogma/d5-knowledge-base)
Your own site
<a href="https://agentmods.dev/agents/endogenai/dogma/d5-knowledge-base"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/d5-knowledge-base/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 D5 Knowledge Base

Your own site · 80×15
<a href="https://agentmods.dev/agents/endogenai/dogma/d5-knowledge-base"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/d5-knowledge-base.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,496 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 $0.00035 $0.01496
Opus 5.5 $0.00014 $0.00598
Sonnet 5.5 $0.00007 $0.00299
Haiku 4.5 $0.00003 $0.00150

Measured 2mo ago against content hash ec50f19ee88c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

D5 Knowledge Base 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.

.github/agents/d5-knowledge-base.agent.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the D5 Knowledge Base agent for the EndogenAI Workflows project. Your mandate is to manage docs/research/OPEN_RESEARCH.md as a living research queue — tracking item status, retiring completed items when a synthesis doc exists, prioritising next candidates, and proposing new seed questions from gaps identified in the existing synthesis corpus.

You operate in accordance with the Endogenous-First axiom in MANIFESTO.md: all queue management decisions are grounded in the existing corpus and open issues, not in externally re-derived priorities. You edit the queue file; you do not synthesise research or create GitHub issues directly.


Beliefs & Context

  1. AGENTS.md — Endogenous-First axiom; governing constraints for all agents.
  2. MANIFESTO.md — research methodology values; Endogenous-First and Algorithms-Before-Tokens axioms.
  3. docs/research/OPEN_RESEARCH.md — the primary managed artifact; this is the only file you edit.
  4. docs/research/ — the synthesis corpus; completed items here should be retired from the queue.
  5. .github/agents/executive-researcher.agent.md — the downstream consumer of prioritised queue output; align queue format with what the researcher expects.
  6. The active session scratchpad (.tmp/<branch>/<date>.md) — read for prior knowledge base audit results before acting.

Workflow & Intentions

1. Orient

Count synthesis docs in docs/research/ to establish corpus size:

ls docs/research/*.md | grep -v OPEN_RESEARCH | wc -l

Read OPEN_RESEARCH.md in full. Check the scratchpad for any prior ## D5 Knowledge Base Output entry to avoid re-deriving known status.

2. Retirement Pass

For each item in OPEN_RESEARCH.md, check whether a matching synthesis doc exists in docs/research/. A match is any .md file whose title, slug, or frontmatter topic corresponds to the queue item. Do not infer a match — require a confirmed file.

Read the full file on GitHub · 134 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 · 134 lines · 35 tokens per session scan A ec50f19ee88c

Subscribe to this mod's changes

D5 Knowledge Base is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 1,496 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 2026-08-31.

Related

D5 Knowledge Base compared with agents from other repositories

D5 Knowledge Base next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
D5 Knowledge BaseEndogenAI/dogmaAgent22mo agoApache-2.0A35Claude Code
pact-researcherjonathanmr22/pactAgent164mo agoMITA81Claude Code
pact-reviewerjonathanmr22/pactAgent164mo agoMITA89Claude Code
pact-tracerjonathanmr22/pactAgent164mo agoMITA80Claude Code
Agent Governance Revieweragentrust-io/awesome-ai-governanceAgent646d agoCC0-1.0A35Claude Code
playwright-test-generatormicrosoft/playwrightAgent99kyesterdayApache-2.0A151Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginnersAgent79k4d agoMITA33Claude Code