ralph-specum-implement

ralph-specum-implement is a skill for Codex from tzachbon/smart-ralph. It costs 53 tokens per session (1,195 once invoked), scanned A, original, MIT.

A coordinator for implementing approved Ralph Specum tasks. It sends individual tasks to a coding sub-agent and tracks completion from the task file.

In plain words
What is it for?
Executing numbered tasks, checking task and prototype state, resuming incomplete work, and closing the specification after all work is verified.
Why use it?
It prevents incomplete, dependent, or incorrectly counted tasks from being treated as finished and preserves progress between runs.

Skill for Codex

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

Good fit Executing numbered tasks, checking task and prototype state, resuming incomplete work, and closing the specification after all work is verified.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-implement.svg)](https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-implement)
Your own site
<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-implement"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,195 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 $0.00053 $0.01195
Opus 5 $0.00026 $0.00598
Sonnet 5 $0.00011 $0.00239
Haiku 4.5 $0.00005 $0.00120

Measured 8d ago against content hash 143ef23ca703, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ralph-specum-implement 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.

plugins/ralph-specum-codex/skills/ralph-specum-implement/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph Specum Implement

You are a coordinator, not an executor -- delegate each task to a spec-executor sub-agent.

Contract

  • Resolve the active spec by explicit path, exact name, or .current-spec
  • Require tasks.md
  • Recompute task counts from disk before execution
  • Merge state fields only
  • Reconcile prototype records before dispatch and block only dependent work
  • Remove .ralph-state.json only when all tasks are complete, verified, and activePrototypes is empty

Action

  1. Resolve the active spec. If none exists, stop.
  2. Require tasks.md. Read .progress.md, current state, and current task markers.
  3. Parse tasks.md once into ordered top-level task rows. Include only unindented checkboxes outside fenced example blocks whose next token is a concrete numeric task ID, V<number>, VE<number>, or VF; exclude nested and example checkboxes, completion criteria, and placeholder IDs. From that one list derive total, the completed count across all rows, and next_index as the zero-based position of the first incomplete row or total when none remains. Do not derive next_index from the completed count; non-prefix completion cases resume at the earliest incomplete row.
  4. Resolve the dispatch task index before merging state. For fresh execution, use next_index. For a prototype return, require a validated non-negative returnTaskIndex and verify that it identifies the first eligible incomplete task. Merge state once with:
    • phase: "execution"
    • awaitingApproval: false
    • totalTasks: total
    • taskIndex: next_index for fresh execution, or the validated returnTaskIndex for a prototype return
    • preserve taskIteration, maxTaskIterations, globalIteration, maxGlobalIterations, commitSpec, and relatedSpecs
  5. Before dispatch, run prototype_records.py reconcile whenever state exists and run select-downstream whenever activePrototypes is nonempty or prototype history exists. Request --target execution, --target "task:$TASK_INDEX", and --path for every declared current-task path. Stop when an active blocker or stale input targets the work, or when any matching targetDecisions entry is not both proofAvailable: true and eligible: true. Missing dependency or approved-transfer proof blocks conservatively. Report the prototype ID and resume active work through $ralph-specum-prototype --resume <id>; route terminal staleness to its earliest affected phase or task.
  6. On a prototype return, verify that the merged taskIndex still equals the validated returnTaskIndex and identifies the first eligible incomplete task before dispatch.
  7. Delegate each task to a spec-executor sub-agent. Pass the task description, file targets, success criteria, and context from .progress.md. The sub-agent implements the task and outputs TASK_COMPLETE. Do NOT implement tasks yourself. Execute tasks in order until complete or blocked.
  8. [P] tasks may batch only when file sets do not overlap and verification is independent.
  9. [VERIFY] tasks stay in the same run and must produce explicit verification evidence.
  10. Marker syntax must be explicitly present in tasks.md. If markers are absent, treat tasks as non-batchable by default.
  11. VE tasks are valid quality tasks when the spec includes autonomous end-to-end verification.
  12. Native task sync metadata should be preserved when present.
  13. After each task or safe batch:
  • mark the checkbox
  • update .progress.md
  • merge the state update
  • use the task Commit line unless commits were explicitly disabled
  1. Before any batching, generated-task, CI, review-fix, branch-publication, or PR-lifecycle push, apply the Prototype Evidence Push Gate in ../../references/workflow.md. Normal mode may ask at that boundary for separate explicit authorization naming every outbound **/prototypes/*.md record. Quick mode asks no question and skips every push. A skipped or denied push ends the dependent remote lifecycle path: do not run gh pr create, gh pr merge, gh pr checks, gh pr view, gh api, gh run, gh issue, remote review polling, issue writes, or later remote steps that depend on that push. Quick mode continues or finishes locally and reports Remote lifecycle skipped: prototype evidence stayed local. Preserve the existing normal remote lifecycle only after the gate completes the push. Never push an isolated prototype source branch. commitSpec authorizes local commits only.
  2. On failure or interruption, persist the current state and stop with a resumable summary.
  3. On full completion, reconcile again. If activePrototypes remains nonempty, preserve .ralph-state.json and stop with its IDs. Otherwise remove state and report completion.

Read the full file on GitHub · 56 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. 8d ago First seen · 56 lines · 53 tokens per session scan A 143ef23ca703

Subscribe to this mod's changes

ralph-specum-implement is a skill published in the GitHub repository tzachbon/smart-ralph (535 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 1,195 once invoked, about $0.0003 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.