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-startgit 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-start)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.01905 |
| Opus 5 | $0.00021 | $0.00953 |
| Sonnet 5 | $0.00008 | $0.00381 |
| Haiku 4.5 | $0.00004 | $0.00191 |
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.
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.mdwhen present - Default specs root is
./specs - Keep
.current-specin the default specs root - Keep the standard Ralph files stable
- Merge
.ralph-state.json. Do not replace the full object
Action
- Parse explicit name, goal, exact
--quickor 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. - 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. - If the same name exists in multiple configured roots, stop and require a full path.
- Check active epic context from
specs/.current-epicwhen no explicit spec was chosen. - For large or cross-cutting goals, route to triage instead of forcing a single spec.
newis an alias here. Create the spec directory if needed.- Initialize or merge state with:
source: "spec"name- exact
goaltext used by the context gate basePathphase: "research"taskIndex: 0totalTasks: 0taskIteration: 1maxTaskIterations: settings default or 5globalIteration: 1maxGlobalIterations: 100commitSpec: settings auto_commit_spec or truerelatedSpecs: []awaitingApproval: falsewhile the goal interview is active- preserve or set
quickMode - preserve or set
granularitywhen--tasks-sizewas supplied - preserve or set
epicNamewhen starting from an epic suggestion
- Update
.current-spec. - Write
.progress.mdwith goal, current phase, next step, blockers, learnings, and skill discovery results. - On resume, prefer
tasks.mdand present files over stale state when they disagree. - Run
phase_gate.py modethrough"$RALPH_CODEX_PLUGIN_ROOT/scripts/phase_gate.py"withSTATEand the exact supplied mode flag. No flag normalizes invalid legacy quick state to interactive. - 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. - 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. - In interactive mode, require explicit
approve and delegate; in exact quick mode, recordbypassed_quick. In both modes, runphase_gate.py check-delegationwith the current loaded-manifest identity before creating aresearch-analystchild. Apply the shared hard-transition invariant before fresh or resumed research dispatch. A failedcheck-delegationin 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--quickdelegation failure, the next explicit invocation reruns discovery, records a freshphaseSkillLoadand interview identity, and does not reuse a terminalbypassed_quickinterview or its discovery revision. Only a matching in-progresscollectingorawaiting_confirmationinterview is resumable. Exact--quickretains its existing question-and-approval bypass and discovery, manifest, delegation, and writer checks. - 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
phaseSkillLoadmanifest. The child must record its loads and passcheck-agent-writewith that unique identity before writingresearch.md. - Validate
research.md, mergephase: "research"andawaitingApproval: truein interactive mode orfalsein exact quick mode, update progress, and present artifact approval when interactive. - 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.
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.
- 6d ago Changed e193a8c5f1de
- 10d ago First seen · 87 lines · 42 tokens per session scan A a4468486d192
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.
Other skills, from other repositories
remember
Review reusable project knowledge and decide what belongs in project memory, notepad, or durable docs.
docx-comment-reply
Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
explaining-machine-learning-models
Explain trained machine learning models through feature attribution, local explanations, and behavior summaries. Use as an explicit/manual helper once a model already exists, not for training ownership, leakage auditing, or general ML strategy selection.
config-validator
Validate AIWG configuration files and project setup for correctness and completeness.
aiwg-regenerate-copilot
Regenerate copilot-instructions.md for GitHub Copilot with vendor-specific content only.
steward-prep-delivery
Steward-assisted prep for filing issues and PRs — environment capture, template selection, duplicate detection, delivery-policy compliance check.