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Agent skill · Audited from source

Ralph Specum Research

skill · tzachbon/smart-ralphMIT licenceAudited 18 Oct 2026 · source a73b124937d9

★ 559pushed 32 days ago
!CAUTIONGrade B · 89/100 · 5 findings · a73b124
559repo stars · whole tzachbon/smart-ralph

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit a73b124937d9 and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 5 findings, 0 critical or high. What it does: This skill should be used only when the user explicitly asks to use `$ralph-specum-research`, or explicitly asks Ralph Specum in Codex to run the research phase.

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Cite this page

ModelsAtlas. “Ralph Specum Research (tzachbon/smart-ralph)”. Retrieved 18 Oct 2026. https://modelsatlas.com/skills/tzachbon/ralph-specum-research

Trust audit

Audit 0.4.1 · source read 18 Oct 2026

Trust score89/100!CAUTION B
0 critical0 high5 medium0 low0 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN5
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (5)

Audit 0.4.1 · source sha a73b124937d9 · 18 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishertzachbon GitHub userOwner of the repository this skill is read from
  • Source foldertzachbon/smart-ralph/plugins/ralph-specum-codex/skills/ralph-specum-researchThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdicta73b124937d9A new audit runs when the source changes
  • Repository statusNot archivedLast push 32 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: This skill should be used only when the user explicitly asks to use `$ralph-specum-research`, or explicitly asks Ralph Specum in Codex to run the research phase.

---
name: ralph-specum-research
description: This skill should be used only when the user explicitly asks to use `$ralph-specum-research`, or explicitly asks Ralph Specum in Codex to run the research phase.
metadata:
  surface: helper
  action: research
---

# Ralph Specum Research

You are a **coordinator, not a researcher** -- delegate ALL work to a `research-analyst` 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`
- Respect `.claude/ralph-specum.local.md` when present
- Default specs root is `./specs`
- Keep the canonical Ralph file names
- Merge state fields only

## Action

1. Resolve the active spec. If none exists, stop and tell the user to start a spec first.
2. Read the goal, `.progress.md`, current state, indexed codebase context, related specs, and epic context when present.
3. Run `phase_gate.py mode` through `"$RALPH_CODEX_PLUGIN_ROOT/scripts/phase_gate.py"` with `STATE` and exact `--quick`, exact `--interactive`, or no flag. Reject both, `-q`, variants, and natural-language substitutes.
4. Run skill discovery pass 1 when the state lacks an applicable revision. Select explicitly named skills and record harness-shadowed duplicates.
5. Load `"$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 evidence scope, decision thresholds, and material unknowns. Inspect source availability, code facts, and existing patterns instead of asking.
6. 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 research writer 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.
7. **Delegate** research generation to a `research-analyst` sub-agent. Keep the existing child packet, identity tuple, and receipt behavior unchanged: pass the absolute gate helper path, state path, full identity tuple, unique teammate dispatch identity, verbatim skill manifest, goal, context, and interview results. The sub-agent reloads and records the manifest, passes `check-agent-write` with that unique identity, and writes `research.md`. Do NOT write research.md yourself.
8. Read the sub-agent's output and validate it exists.
9. Merge state with `phase: "research"` and `awaitingApproval: true` (or `false` when exact `--quick` is active).
10. Update `.progress.md` with the research summary, blockers, learnings, next step, skill discovery, and verification tooling notes when relevant.
11. If spec commits are enabled, commit only the spec artifacts.
12. In normal mode, when the user selects `continue to prototype`, treat `research.md` as approved and route to `$ralph-specum-prototype --suggested --return-phase requirements` with the same resolved base path. Let that skill own prototype behavior and its return handoff.

### Stop Behavior

- **Without `--quick`**: STOP HERE. Display the walkthrough summary and approval prompt. Do NOT continue to requirements. Wait for the user to explicitly approve and request the next phase.
- **With exact `--quick`**: Record the quick bypass and continue directly into requirements. Do not request a prototype from research; quick mode has one post-requirements request only.

## Output Shape

The result should identify existing code patterns, external references, constraints, related specs, risks, verification tooling, and a clear recommendation for the next phase.

## Response Handoff

- After writing `research.md`, name `research.md` and summarize the research briefly.
- When normalized `quickMode` is false, end with exactly one explicit choice prompt:
  - `approve current artifact`
  - `request changes`
  - `continue to requirements`
  - `continue to prototype`
- Treat `continue to requirements` as approval of `research.md`.
- Treat `continue to prototype` as approval of `research.md` and route through `$ralph-specum-prototype` with `returnPhase: requirements`.
- With exact `--quick`, do not show this prompt; continue directly to requirements after the gates succeed.
- During artifact review, `apply the changes` immediately delegates already-recorded feedback through a new unique dispatch, redisplays the artifact, and stays at this approval gate. Ask one focused change question only when no feedback is pending. Control-only `continue`, `proceed`, and `go ahead` approve nothing.

Excerpt, first 5,463 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit a73b124

Download folder ↗
git clone https://github.com/tzachbon/smart-ralph
git -C smart-ralph checkout a73b124937d9

The author documents no install command, so this uses the repository directly. Our verdict covers commit a73b124937d9 only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
CodexMentioned in its text, not testedSkills for Codex · About Codex
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source a73b124937d9

README badge

For maintainers · shows the latest audit

ModelsAtlas: CAUTION BMODELSATLASCAUTION · B
[![ModelsAtlas: CAUTION B](https://modelsatlas.com/skills/tzachbon/ralph-specum-research/badge.svg)](https://modelsatlas.com/skills/tzachbon/ralph-specum-research/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Add this badge to your README

[![ModelsAtlas: CAUTION B](https://modelsatlas.com/skills/tzachbon/ralph-specum-research/badge.svg)](https://modelsatlas.com/skills/tzachbon/ralph-specum-research/)

Questions about Ralph Specum Research

What does the Ralph Specum Research skill do?
Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow.
Is Ralph Specum Research safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Ralph Specum Research access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
What do I need installed to use Ralph Specum Research?
Its own instructions reference bypassed_quick. Dependencies are pinned to exact versions.
Which assistants does Ralph Specum Research work with?
Its documentation mentions codex. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (a73b124937d9), read on 2026-10-18. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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