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.
npx skills add spideynolove/claude-dotfiles --skill rlm-workflowgit clone --depth 1 https://github.com/spideynolove/claude-dotfilesWrote 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/skills/spideynolove/claude-dotfiles/rlm-workflow)<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.
<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>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 | $0.00075 | $0.07060 |
| Opus 5 | $0.00037 | $0.03530 |
| Sonnet 5 | $0.00015 | $0.01412 |
| Haiku 4.5 | $0.00007 | $0.00706 |
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.
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 — 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 QAVerify 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.mdcontains the RLM Workflow block (managed upsert block).agent/PLANS.mdcontains the canonical workflow block fromreferences/plans-canonical.md(managed upsert block).codex/rlm/exists- Any other files created by the installer scripts (
scripts/install-rlm-workflow.ps1orscripts/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.mdinto.agent/PLANS.mdusing managed markers - Upsert the "RLM Workflow Skill" block into
.codex/AGENTS.mdusing managed markers
Then continue with the workflow phases.
Read Order
- Read
.codex/AGENTS.mdintro sections for local invocation conventions. - Read
.agent/PLANS.mdfor canonical phase rules and requirements. - If AGENTS wording and PLANS wording differ, follow PLANS (AGENTS declares PLANS canonical) and note the mismatch in the current phase artifact when relevant.
What ships with it
28 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/code-reviewer.md 6.0 KB
- agents/implementer.md 4.5 KB
- agents/openai.yaml 1.5 KB
- docs/templates/commands/rlm-init.md 2.5 KB
- docs/templates/commands/rlm-status.md 2.2 KB
- docs/templates/hooks/hooks.json 313 B
- docs/templates/hooks/run-hook.cmd 1.2 KB runs code
- docs/templates/hooks/session-start.sh 2.6 KB runs code
- LICENSE 11 KB
- README.md 23 KB
- references/agents-block.md 2.4 KB
- references/artifact-template.md 35 KB
- references/plans-canonical.md 65 KB
- scripts/install-rlm-workflow.ps1 5.6 KB runs code
- scripts/install-rlm-workflow.py 5.6 KB runs code
- scripts/install-rlm-workflow.sh 361 B runs code
- scripts/lint-rlm-run.ps1 15 KB runs code
- scripts/lint-rlm-run.py 13 KB runs code
- scripts/rlm-init.ps1 3.5 KB runs code
- scripts/rlm-init.py 3.4 KB runs code
- scripts/rlm-status.ps1 14 KB runs code
- scripts/rlm-status.py 13 KB runs code
- scripts/verify-locks.ps1 12 KB runs code
- scripts/verify-locks.py 9.8 KB runs code
- skills/rlm-debugging/SKILL.md 12 KB
- skills/rlm-subagent/SKILL.md 11 KB
- skills/rlm-tdd/SKILL.md 8.8 KB
- skills/rlm-worktree/SKILL.md 15 KB
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.
- 8d ago First seen · 728 lines · 75 tokens per session scan A 04f2a6850b54
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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