proofloop-herdr-sol-luna-fable-planr

proofloop-herdr-sol-luna-fable-planr is a skill for Codex from regenrek/codex-proofloop. It costs 120 tokens per session (1,139 once invoked), scanned A, original, MIT.

A workflow coordinator for projects using Planr, Herdr, Sol, Luna Max, and Fable, with defined roles for implementation, review, and verification.

In plain words
What is it for?
Use it to plan and validate multi-agent development runs, assign read-only or verification roles, control allowed files, and record a validation command.
Why use it?
It sets ownership, limits when additional agents are involved, and requires project policy and run configuration to be checked before work begins.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md.

Good fit Use it to plan and validate multi-agent development runs, assign read-only or verification roles, control allowed files, and record a validation command.

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Install with agentmods
npx agentmods add skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr
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.

Any agent
npx skills add regenrek/codex-proofloop --skill proofloop-herdr-sol-luna-fable-planr
Clone the repo
git clone --depth 1 https://github.com/regenrek/codex-proofloop

Made for: Codex.

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 proofloop-herdr-sol-luna-fable-planr

README.md
[![agentmods](https://agentmods.dev/badge/skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr/github.svg)](https://agentmods.dev/skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr)
Your own site
<a href="https://agentmods.dev/skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr"><img src="https://agentmods.dev/badge/skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr"><img src="https://agentmods.dev/badge/skills/regenrek/codex-proofloop/proofloop-herdr-sol-luna-fable-planr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,139 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00120 $0.01139
Opus 5 $0.00060 $0.00570
Sonnet 5 $0.00024 $0.00228
Haiku 4.5 $0.00012 $0.00114

Measured 9d ago against content hash 123ead5c3f29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

proofloop-herdr-sol-luna-fable-planr 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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/silent_sentinel.py, scripts/test_distillation_gate.py, scripts/validate_config.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/proofloop-herdr-sol-luna-fable-planr/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Proofloop Herdr: Sol, Luna, Fable, and Planr

Keep Sol responsible for the task, architecture, sole-writer implementation, integration, and final decision. Add another agent only when its distinct role materially improves the run.

Start from project policy

  1. Discover the repository root with its version-control or project tooling; otherwise use the explicit working directory.

  2. Read the applicable AGENTS.md files and locate the project profile they name. If none exists, adapt assets/project-profile.template.json and the AGENTS.md template inside the project before orchestrating.

  3. Create one run contract from assets/run-contract.template.json. Keep allowed paths project-relative and choose one literal validation command.

  4. Validate both documents:

    python3 scripts/validate_config.py path/to/project-profile.json path/to/run-contract.json
    

Stop if policy, scope, ownership, or the source task is ambiguous. Never inspect credential contents or copy credentials into prompts, logs, contracts, or evidence.

Select the smallest useful topology

  • Use Sol only for ordinary implementation and deterministic validation.
  • Add one Luna Max silent sentinel only when the run contract explicitly selects it for a long-running Sol implementation. luna_mode: null creates no Luna pane or process. Start it only with scripts/silent_sentinel.py; the script refuses an unselected mode and exits at settlement, owner loss, mandatory stop, or its deadline.
  • Add one fresh Luna Max bounded verifier only when project policy selects it and independent verification is worth a separate session.
  • Add one fresh Luna Max interactive operator only for sustained UI or manual interaction that cannot be represented by the validation command.
  • Ask Fable once per hypothesis, either before implementation to challenge it or afterward for final semantic review. Do not use both by default.

Read the full file on GitHub · 87 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. 9d ago First seen · 87 lines · 120 tokens per session scan A 123ead5c3f29

Subscribe to this mod's changes

proofloop-herdr-sol-luna-fable-planr is a skill published in the GitHub repository regenrek/codex-proofloop (38 stars, last pushed 28d ago), licensed MIT. It adds 120 tokens to every session and 1,139 once invoked, about $0.0006 per session on Opus 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 2026-08-30.