rlm-workflow

rlm-workflow is a skill for Codex from spideynolove/claude-dotfiles. It costs 75 tokens per session (7,060 once invoked), scanned A, original, MIT.

A complete workflow for implementing repository requirements through defined RLM phases, with phase gates, locked records, traceability, and project setup. It treats files in the repository as the authoritative record of the work.

In plain words
What is it for?
Use it to start or resume a named requirement, run a particular RLM phase, lock completed phases, verify locks, and install or update the repository’s RLM workflow scaffolding.
Why use it?
It keeps planning, implementation, review, testing, and resumption consistent across tasks. It also checks that required agent instructions, plans, scripts, and RLM folders exist before work starts.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Claude Code; mentions AGENTS.md.

Good fit Use it to start or resume a named requirement, run a particular RLM phase, lock completed phases, verify locks, and install or update the repository’s RLM workflow scaffolding.

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Install with agentmods
npx agentmods add skills/spideynolove/claude-dotfiles/rlm-workflow
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 spideynolove/claude-dotfiles --skill rlm-workflow
Clone the repo
git clone --depth 1 https://github.com/spideynolove/claude-dotfiles

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 rlm-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/spideynolove/claude-dotfiles/rlm-workflow/github.svg)](https://agentmods.dev/skills/spideynolove/claude-dotfiles/rlm-workflow)
Your own site
<a href="https://agentmods.dev/skills/spideynolove/claude-dotfiles/rlm-workflow"><img src="https://agentmods.dev/badge/skills/spideynolove/claude-dotfiles/rlm-workflow/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 rlm-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/spideynolove/claude-dotfiles/rlm-workflow"><img src="https://agentmods.dev/badge/skills/spideynolove/claude-dotfiles/rlm-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,060 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 $0.00075 $0.07060
Opus 5 $0.00037 $0.03530
Sonnet 5 $0.00015 $0.01412
Haiku 4.5 $0.00007 $0.00706

Measured 8d ago against content hash 04f2a6850b54, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

rlm-workflow 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 8d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (docs/templates/hooks/run-hook.cmd, docs/templates/hooks/session-start.sh, scripts/install-rlm-workflow.ps1, …), 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.

.agents-global/skills/rlm-workflow/SKILL.md · 728 lines

How it starts

The opening of the file, as written. The whole thing — 728 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RLM Workflow

Overview

Implement repository work using the canonical RLM process in .agent/PLANS.md, with invocation conventions from .codex/AGENTS.md. Treat repository artifacts as the source of truth and keep prompts as path-based commands.

Trigger examples

  • Implement requirement '2026-02-24-add-oauth'
  • Run RLM Phase 2 for .codex/rlm/2026-02-24-add-oauth/
  • Resume requirement '2026-02-24-add-oauth' after manual QA
  • Verify locks for .codex/rlm/2026-02-24-add-oauth/
  • Lock Phase 3 for run '2026-02-24-add-oauth'

Bootstrap preflight (always run first)

Before doing anything else, ensure the repo scaffolding exists and is up to date:

  • .codex/AGENTS.md contains the RLM Workflow block (managed upsert block)
  • .agent/PLANS.md contains the canonical workflow block from references/plans-canonical.md (managed upsert block)
  • .codex/rlm/ exists
  • Any other files created by the installer scripts (scripts/install-rlm-workflow.ps1 or scripts/install-rlm-workflow.py) exist

If any are missing/outdated, run:

# Windows PowerShell:
powershell -ExecutionPolicy Bypass -File ./scripts/install-rlm-workflow.ps1 -RepoRoot .

# PowerShell 7+ (pwsh):
pwsh -NoProfile -File ./scripts/install-rlm-workflow.ps1 -RepoRoot .

# Python (Windows/macOS/Linux):
python ./scripts/install-rlm-workflow.py --repo-root .
# or:
python3 ./scripts/install-rlm-workflow.py --repo-root .

# Bash wrapper (macOS/Linux):
bash ./scripts/install-rlm-workflow.sh --repo-root .

If script execution isn't possible, perform an equivalent manual bootstrap:

  • Create missing directories/files listed above
  • Upsert canonical plans from references/plans-canonical.md into .agent/PLANS.md using managed markers
  • Upsert the "RLM Workflow Skill" block into .codex/AGENTS.md using managed markers

Then continue with the workflow phases.

Read Order

  1. Read .codex/AGENTS.md intro sections for local invocation conventions.
  2. Read .agent/PLANS.md for canonical phase rules and requirements.
  3. If AGENTS wording and PLANS wording differ, follow PLANS (AGENTS declares PLANS canonical) and note the mismatch in the current phase artifact when relevant.

Read the full file on GitHub · 728 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. 8d ago First seen · 728 lines · 75 tokens per session scan A 04f2a6850b54

Subscribe to this mod's changes

rlm-workflow is a skill published in the GitHub repository spideynolove/claude-dotfiles (2 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 7,060 once invoked, about $0.0004 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 2026-08-31.

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