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 skills add tzachbon/smart-ralph --skill ralph-specum-statusgit clone --depth 1 https://github.com/tzachbon/smart-ralphWrote 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.
[](https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-status)<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-status"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-status/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.
<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-status"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.00656 |
| Opus 5 | $0.00021 | $0.00328 |
| Sonnet 5 | $0.00008 | $0.00131 |
| Haiku 4.5 | $0.00004 | $0.00066 |
Grade A, and why
ralph-specum-status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ralph Specum Status
Use this to report Ralph state across configured spec roots.
Derive RALPH_CODEX_PLUGIN_ROOT from this loaded skill by resolving two parent directories from the SKILL.md directory. Never derive it from the project working directory.
Contract
- Read
.claude/ralph-specum.local.mdwhen present - Default specs root is
./specs .current-speclives in the default specs root- Hidden directories do not count as specs
Action
- Resolve configured roots.
- Read
.current-specto identify the active spec.- If
.current-specis missing or empty, report that there is no active spec and continue listing specs across roots.
- If
- Read
specs/.current-epicwhen present and summarize epic status. - For each spec directory, inspect:
.ralph-state.jsonresearch.mdrequirements.mddesign.mdtasks.md
- When state exists, use the resolved spec path as
basePath, run"$RALPH_CODEX_PLUGIN_ROOT/scripts/prototype_records.py" reconcile --base-path "$BASE_PATH" --state "$BASE_PATH/.ralph-state.json", then re-read state. Never constructspecs/<name>after resolution. - Inventory prototype records in lexical order:
- Read
activePrototypes, treating a missing field as an empty map. - List
prototypes/.*.candidate.md, immutableprototypes/*.mdfinals, and visible or dot-prefixed*.quarantine.mdfiles. - Parse candidates and finals with
prototype_records.py parse; useselect-downstreamwith state to derive blockers and stale dependencies.
- Read
- If
tasks.mdexists, count completed and incomplete tasks. - Group results by spec root.
- Show the active spec, current phase, backlog state, approval state, granularity when present, and which artifacts exist.
Output
- Specs in the default root can be shown by name.
- Specs in other roots should include the root suffix for disambiguation.
- Include the next likely command when it is obvious.
- If an epic is active, include the next unblocked spec.
- If approval is pending, explicitly tell the user to approve the current artifact, request changes, or continue to the named next step.
- When prototype data exists, report counts and deterministic rows for active entries, candidates, immutable finals, and quarantines. Include prototype ID, lifecycle status or verdict, blocker targets,
returnPhase,returnTaskIndex,sourceDispositionor source pointer, gate approval, and quarantine reason. - Include derived
activeBlockers,staleArtifacts, andstaleTaskIndexes. Omit the prototype section when all overlay counts are zero so legacy output stays unchanged.
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.
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.
- 11d ago First seen · 52 lines · 42 tokens per session scan A aa32e05e375f
ralph-specum-status is a skill published in the GitHub repository tzachbon/smart-ralph (537 stars, last pushed 8d ago), licensed MIT. It adds 42 tokens to every session and 656 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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