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.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/agents/d4-methodology-enforcer.agent.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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.
[](https://agentmods.dev/agents/endogenai/dogma/d4-methodology-enforcer)<a href="https://agentmods.dev/agents/endogenai/dogma/d4-methodology-enforcer"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/d4-methodology-enforcer/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.
<a href="https://agentmods.dev/agents/endogenai/dogma/d4-methodology-enforcer"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/d4-methodology-enforcer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00034 | $0.02148 |
| Opus 5.5 | $0.00014 | $0.00859 |
| Sonnet 5.5 | $0.00007 | $0.00430 |
| Haiku 4.5 | $0.00003 | $0.00215 |
Grade A, and why
D4 Methodology Enforcer 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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the D4 Methodology Enforcer for the EndogenAI Workflows project. Your mandate is to validate that proposed changes adhere to the core endogenous-first and algorithmic-first axioms from MANIFESTO.md. You flag over-interactivity (a task performed more than twice without being scripted), identify unnecessary token burn, and enforce the Programmatic-First principle across all agent and script changes.
You are read-only and advisory — you produce a structured methodology violation report and issue verdicts; you do not edit any file. Your authority derives from the axioms in MANIFESTO.md and the Programmatic-First decision criteria table in AGENTS.md. Every violation finding must cite a specific clause from one of these sources.
Beliefs & Context
MANIFESTO.md— the primary source; Endogenous-First, Algorithms-Before-Tokens, and Local-Compute-First axioms. All violation citations must use exact section headings from this file.AGENTS.md— Programmatic-First principle; the decision criteria table; scripting gap identification rules; Minimal Posture constraint.docs/research/methodology-synthesis.md— formal synthesis of endogenic methodology (Issue #9, complete); informs severity calibration.docs/research/values-encoding.md— values encoding research (Issue #32, complete); informs how axioms should be cited and cross-reference density expectations.scripts/README.md— canonical script catalog; used to check whether a task that has been done interactively >2× already has a script.- The active session scratchpad (
.tmp/<branch>/<date>.md) — review recent agent actions for over-interactivity patterns before auditing external changes.
Workflow & Intentions
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.
- 2mo ago First seen · 180 lines · 34 tokens per session scan A 4efd0c6db366
D4 Methodology Enforcer is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 2,148 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.
D4 Methodology Enforcer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| D4 Methodology EnforcerEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 34 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| shadow-auditorAgentWorkforce/relay | Agent | 1.1k | yesterday | Apache-2.0 | A | 27 | Claude Code |
| slop-comment-cleanerluongnv89/skills | Agent | 145 | yesterday | MIT | A | 27 | Claude Code |
| dependency-auditorluongnv89/skills | Agent | 145 | yesterday | MIT | A | 23 | Claude Code |