ralph-specum-requirements

ralph-specum-requirements is a skill for Codex from tzachbon/smart-ralph. It costs 45 tokens per session (1,376 once invoked), scanned A, original, MIT.

A coordinator for the requirements phase of Ralph Specum, a workflow for turning a software idea into a documented plan.

In plain words
What is it for?
Resolving the active specification, reviewing research and progress, discovering relevant skills, and preparing requirements in quick or interactive mode.
Why use it?
It checks the project’s research and current state before requirements are written, helping prevent unsupported or inconsistent requirements.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Good fit Resolving the active specification, reviewing research and progress, discovering relevant skills, and preparing requirements in quick or interactive mode.

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Install with agentmods
npx agentmods add skills/tzachbon/smart-ralph/ralph-specum-requirements
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 tzachbon/smart-ralph --skill ralph-specum-requirements
Clone the repo
git clone --depth 1 https://github.com/tzachbon/smart-ralph

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 ralph-specum-requirements

README.md
[![agentmods](https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-requirements/github.svg)](https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-requirements)
Your own site
<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-requirements"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-requirements/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 ralph-specum-requirements

Your own site · 80×15
<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-requirements"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-requirements.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,376 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 29
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00045 $0.01376
Opus 5 $0.00023 $0.00688
Sonnet 5 $0.00009 $0.00275
Haiku 4.5 $0.00005 $0.00138

Measured 7d ago against content hash 256d59c0af40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ralph-specum-requirements 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 7d 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.

plugins/ralph-specum-codex/skills/ralph-specum-requirements/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph Specum Requirements

You are a coordinator, not a product manager -- delegate ALL work to a product-manager sub-agent.

Derive RALPH_CODEX_PLUGIN_ROOT from this loaded skill by resolving two parent directories from the SKILL.md directory. Never derive it from the project working directory.

Contract

  • Resolve the active spec by explicit path, exact name, or .current-spec
  • Require the spec directory to exist
  • Merge state fields only
  • Keep the Ralph disk contract unchanged

Action

  1. Resolve the active spec. If none exists, stop.
  2. Read research.md when present, .progress.md, and the current state.
  3. Run phase_gate.py mode through "$RALPH_CODEX_PLUGIN_ROOT/scripts/phase_gate.py" with STATE and exact --quick, exact --interactive, or no flag. Reject both, -q, variants, and natural-language substitutes.
  4. When research.md exists, require its artifact approval in interactive mode; exact quick mode continues with the validated file. When it is absent, record that there is no upstream research artifact and require no prior-artifact approval.
  5. When research.md exists, require skill discovery pass 2 against the goal plus final research. When it is absent, require pass 1 against the goal alone. Run the applicable pass when the state lacks its revision. Select explicitly named skills and record harness-shadowed duplicates.
  6. Load "$RALPH_CODEX_PLUGIN_ROOT/skills/interview-framework-codex/SKILL.md", its required algorithm and domain-modeling references, and all selected domain contracts in both interactive and quick mode. In interactive mode, use its focused brainstorming method for critical user outcomes, scope exclusions, acceptance thresholds, and material non-functional requirements. Inspect existing behavior and terminology instead of asking.
  7. Clear any prior approval gate by merging awaitingApproval: false before generation.
  8. In interactive mode, require explicit approve and delegate; in exact quick mode, record bypassed_quick. In both modes, run phase_gate.py check-delegation with the current loaded-manifest identity before creating the child. Apply the shared hard-transition invariant before requirements writer dispatch. A failed check-delegation in either mode ends this invocation before phase transition, child dispatch, or target-artifact write; after a normal-mode failure, the next explicit invocation creates a fresh manifest/interview identity and does not create an alternate quick bypass. After an exact --quick delegation failure, the next explicit invocation reruns discovery, records a fresh phaseSkillLoad and interview identity, and does not reuse a terminal bypassed_quick interview or its discovery revision. Only a matching in-progress collecting or awaiting_confirmation interview is resumable.
  9. Delegate requirements generation to a product-manager sub-agent. Pass the absolute helper path, state path, identity tuple, unique teammate dispatch identity, verbatim manifest, research context, goal, and interview results. The child reloads and records the manifest, passes check-agent-write with that unique identity, and writes requirements.md. Do NOT write requirements.md yourself.
  10. Read the sub-agent's output and validate it exists.
  11. Merge state with phase: "requirements" and awaitingApproval: true (or false when exact --quick is active).
  12. Update .progress.md with approved research context, user decisions, blockers, next step, skill discovery, and any epic constraints that must carry forward.
  13. If spec commits are enabled, commit only the spec artifacts.
  14. In normal mode only, when the user selects continue to prototype, treat requirements.md as approved and route to $ralph-specum-prototype --suggested --return-phase design with the same resolved base path. Let that skill own prototype behavior and its return handoff.

Read the full file on GitHub · 70 lines

Files

What ships with it

1 file 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.

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. 7d ago Changed 256d59c0af40
  2. 11d ago First seen · 70 lines · 45 tokens per session scan A 3ece68652c5f

Subscribe to this mod's changes

ralph-specum-requirements is a skill published in the GitHub repository tzachbon/smart-ralph (536 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 1,376 once invoked, about $0.0002 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.

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