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 agentmods add skills/tzachbon/smart-ralph/interview-framework-codexnpx skills add tzachbon/smart-ralph --skill interview-framework-codexgit clone --depth 1 https://github.com/tzachbon/smart-ralphWhat 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 | $0.00045 | $0.00664 |
| Opus 5 | $0.00023 | $0.00332 |
| Sonnet 5 | $0.00009 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
interview-framework-codex 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 3d 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex interview framework
Run every normal-mode start, triage, research, requirements, design, and tasks phase through references/algorithm.md and references/domain-modeling.md.
Completion criterion
Delegate only after all of these conditions hold for one identity tuple:
phase,interviewId,discoveryRevision, andcontextDigestmatch in state and in the delegation packet.- The selected skill manifest has status
completeorpartial_warned. - The phase interview has status
completeorskippedafter explicit final approval. phase_gate.py check-delegationsucceeds.
Quick mode uses the same identity tuple. It requires a current complete or partial_warned manifest plus an interview receipt with status bypassed_quick and quickAuthorization.source: "--quick". Quick mode bypasses interview questions only. Discovery, contract load, parent delegation provenance, artifact-agent reload, and check-agent-write still apply.
Hard boundaries
- Ask only critical user decisions that can change phase scope, externally visible behavior, acceptance, architecture, sequencing, or material risk.
- Inspect code, configuration, state, prior artifacts, and selected skill contracts for facts. Do not ask the user for discoverable facts or setup and administration choices.
- Ask the whole currently unblocked critical frontier. Split a frontier only when Codex's native user-input tool limit requires another batch. The current limit is three questions per call.
- Put the recommended option first and state its tradeoff. Offer only viable alternatives.
- Persist each partial answer before asking the next frontier.
- Treat control-only replies such as
apply the changes,continue,proceed, andgo aheadas no answer to an active interview question. - Treat bare
skipduring an active question as an instruction to finish the remaining interview with stated defaults and assumptions. Present the final approval gate before delegation. - Delegate in the same turn after the user explicitly chooses
approve and delegate. - During artifact review, treat
apply the changesas a revision request. Delegate the revision and remain at the artifact approval gate. - Apply domain-language modeling during the grill. Challenge conflicting or vague terms, use concrete boundary scenarios, and record resolved domain terms without creating an ADR.
What ships with it
3 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.
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.
- 3d ago First seen · 41 lines · 45 tokens per session scan A 7683dda900c1
interview-framework-codex is a skill published in the GitHub repository tzachbon/smart-ralph (527 stars, last pushed 5d ago), licensed MIT. It adds 45 tokens to every session and 664 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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