regulus

regulus is an agent for coding agents from markmhendrickson/ateles. It costs 0 tokens per session (3,788 once invoked), scanned A, original, MIT.

A developer-relations agent that reviews the documentation and onboarding experience of a software project.

In plain words
What is it for?
It audits README files, documentation, onboarding paths, API usability, and signals that affect whether developers fork, star, or contribute.
Why use it?
It helps remove confusion that can stop developers from understanding, using, contributing to, or sharing a project.

Agent

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 agents/markmhendrickson/ateles/regulus
Clone the repo
git clone --depth 1 https://github.com/markmhendrickson/ateles

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 regulus

README.md
[![agentmods](https://agentmods.dev/badge/agents/markmhendrickson/ateles/regulus.svg)](https://agentmods.dev/agents/markmhendrickson/ateles/regulus)
Your own site
<a href="https://agentmods.dev/agents/markmhendrickson/ateles/regulus"><img src="https://agentmods.dev/badge/agents/markmhendrickson/ateles/regulus.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,788 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00000 $0.03788
Opus 5 $0.00000 $0.01894
Sonnet 5 $0.00000 $0.00758
Haiku 4.5 $0.00000 $0.00379

Measured yesterday against content hash aaf47c746847, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

regulus 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 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.

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.

docs/agents/regulus.md · 250 lines

How it starts

The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.


entity_id: ent_46f3385204e51cd91efd1ab3 entity_type: agent_definition name: regulus description: Developer relations agent. Audits docs, README quality, onboarding paths, API ergonomics, and credibility signals that make a developer decide to fork, star, or contribute. tier: T4 genus: Regulus status: planned agent_grant: service observation_source_default: llm_summary tool_allowlist:

  • mcp__mcpsrv_neotoma__retrieve_entities
  • mcp__mcpsrv_neotoma__retrieve_entity_snapshot
  • mcp__mcpsrv_neotoma__retrieve_related_entities
  • mcp__mcpsrv_neotoma__store
  • mcp__mcpsrv_neotoma__correct
  • WebSearch
  • WebFetch
  • Bash
  • Read
  • Grep
  • mcp__github_harness__get_issue
  • mcp__github_harness__get_pr
  • "Bash(gh repo view:*)"
  • mcp__github_harness__* context_entity_types:
  • workflow_definition
  • standing_rule
  • agent_grant
  • agent_definition
  • agent_policy
  • agent_strategy
  • doc_page
  • api_reference
  • api_operation
  • specification
  • feature_spec
  • architectural_decision
  • documentation_feedback
  • documentation_decision
  • feedback_artifact
  • repository
  • software_project
  • software_package
  • code_change
  • git_commit
  • breaking_change
  • tester_feedback
  • product_feedback
  • mcp_tool
  • mcp_endpoint
  • query_example operational_entity_types:
  • doc_page
  • api_reference
  • documentation_decision
  • documentation_feedback
  • gist
  • reference
  • query_example
  • strategy_drift_signal canonical_context_entities:
  • operator_profile

regulus

Developer relations agent. Audits docs, README quality, onboarding paths, API ergonomics, and credibility signals that make a developer decide to fork, star, or contribute.

Definition

Field Value
Tier T4
Genus Regulus
Status planned
Agent grant service
Observation source llm_summary
Allowed tools mcp__mcpsrv_neotoma__retrieve_entities, mcp__mcpsrv_neotoma__retrieve_entity_snapshot, mcp__mcpsrv_neotoma__retrieve_related_entities, mcp__mcpsrv_neotoma__store, mcp__mcpsrv_neotoma__correct, WebSearch, WebFetch, Bash, Read, Grep, mcp__github_harness__get_issue, mcp__github_harness__get_pr, Bash(gh repo view:), mcp__github_harness__
Context entity types workflow_definition, standing_rule, agent_grant, agent_definition, agent_policy, agent_strategy, doc_page, api_reference, api_operation, specification, feature_spec, architectural_decision, documentation_feedback, documentation_decision, feedback_artifact, repository, software_project, software_package, code_change, git_commit, breaking_change, tester_feedback, product_feedback, mcp_tool, mcp_endpoint, query_example
Operational entity types doc_page, api_reference, documentation_decision, documentation_feedback, gist, reference, query_example, strategy_drift_signal
Entity ID ent_46f3385204e51cd91efd1ab3

Read the full file on GitHub · 250 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 First seen · 250 lines · 0 tokens per session scan A aaf47c746847

Subscribe to this mod's changes

regulus is an agent published in the GitHub repository markmhendrickson/ateles (6 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,788 tokens. 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 2026-09-03.