ralph-specum-start

ralph-specum-start is a skill for Codex from tzachbon/smart-ralph. It costs 42 tokens per session (1,905 once invoked), scanned A, original, MIT.

A starter and resume workflow for Ralph Specum, which organizes software work into named specifications and development phases.

In plain words
What is it for?
Starting new specifications, resuming existing ones, choosing specification locations, setting task detail, and routing large goals to feature triage.
Why use it?
It creates or finds the correct specification and preserves its state, reducing confusion when several projects or specification folders exist.

Skill for Codex

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

Good fit Starting new specifications, resuming existing ones, choosing specification locations, setting task detail, and routing large goals to feature triage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tzachbon/smart-ralph/ralph-specum-start
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-start
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-start

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-start"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-start.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,905 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 54
    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 $0.00042 $0.01905
Opus 5 $0.00021 $0.00953
Sonnet 5 $0.00008 $0.00381
Haiku 4.5 $0.00004 $0.00191

Measured 6d ago against content hash e193a8c5f1de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ralph-specum-start 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 6d 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-start/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.

Ralph Specum Start

Use this for the start and new entrypoints.

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

  • Read .claude/ralph-specum.local.md when present
  • Default specs root is ./specs
  • Keep .current-spec in the default specs root
  • Keep the standard Ralph files stable
  • Merge .ralph-state.json. Do not replace the full object

Action

  1. Parse explicit name, goal, exact --quick or exact --interactive, --resume <prototype-id>, commit flags, optional specs root, and optional --tasks-size fine|coarse. Reject both mode flags together, -q, variants, and natural-language substitutes.
  2. Classify new versus resume intent, then resolve the classified target by explicit path, exact name, or .current-spec. A new-spec request does not inherit or recover the existing current spec.
  3. If the same name exists in multiple configured roots, stop and require a full path.
  4. Check active epic context from specs/.current-epic when no explicit spec was chosen.
  5. For large or cross-cutting goals, route to triage instead of forcing a single spec.
  6. new is an alias here. Create the spec directory if needed.
  7. Initialize or merge state with:
    • source: "spec"
    • name
    • exact goal text used by the context gate
    • basePath
    • phase: "research"
    • taskIndex: 0
    • totalTasks: 0
    • taskIteration: 1
    • maxTaskIterations: settings default or 5
    • globalIteration: 1
    • maxGlobalIterations: 100
    • commitSpec: settings auto_commit_spec or true
    • relatedSpecs: []
    • awaitingApproval: false while the goal interview is active
    • preserve or set quickMode
    • preserve or set granularity when --tasks-size was supplied
    • preserve or set epicName when starting from an epic suggestion
  8. Update .current-spec.
  9. Write .progress.md with goal, current phase, next step, blockers, learnings, and skill discovery results.
  10. On resume, prefer tasks.md and present files over stale state when they disagree.
  11. Run phase_gate.py mode through "$RALPH_CODEX_PLUGIN_ROOT/scripts/phase_gate.py" with STATE and the exact supplied mode flag. No flag normalizes invalid legacy quick state to interactive.
  12. Run skill discovery pass 1 against the goal. Collect plugin skills, project .agents/skills, project .claude/skills, and the current Codex harness catalog. Always select explicitly named skills and record shadowed duplicates.
  13. Load "$RALPH_CODEX_PLUGIN_ROOT/skills/interview-framework-codex/SKILL.md", its required algorithm and domain-modeling references, and every selected domain contract in both interactive and quick mode. In interactive mode, follow that algorithm for the start goal territory: outcome and observable success, material scope boundaries, critical constraints, and viable high-level approach. Ask no spec-path, branch, task-size, or discoverable question.
  14. 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 a research-analyst child. Apply the shared hard-transition invariant before fresh or resumed research dispatch. A failed check-delegation in either mode stops this invocation before phase transition, child dispatch, or target-artifact write; after a normal-mode failure, only the next explicit invocation creates a fresh manifest/interview identity. 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. Exact --quick retains its existing question-and-approval bypass and discovery, manifest, delegation, and writer checks.
  15. Keep the existing child packet, identity tuple, and receipt behavior unchanged: pass the absolute helper path, state path, identity tuple, a unique teammate dispatch identity, and the verbatim phaseSkillLoad manifest. The child must record its loads and pass check-agent-write with that unique identity before writing research.md.
  16. Validate research.md, merge phase: "research" and awaitingApproval: true in interactive mode or false in exact quick mode, update progress, and present artifact approval when interactive.
  17. In exact quick mode, record the quick bypass, generate missing artifacts in order, skip normal approval pauses, and continue into implementation in the same run.

Read the full file on GitHub · 87 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. 6d ago Changed e193a8c5f1de
  2. 10d ago First seen · 87 lines · 42 tokens per session scan A a4468486d192

Subscribe to this mod's changes

ralph-specum-start is a skill published in the GitHub repository tzachbon/smart-ralph (537 stars, last pushed 7d ago), licensed MIT. It adds 42 tokens to every session and 1,905 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.