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.
git clone --depth 1 https://github.com/lllllllama/RigorPilot-SkillsWrote 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/commands/lllllllama/rigorpilot-skills/safe-debug)<a href="https://agentmods.dev/commands/lllllllama/rigorpilot-skills/safe-debug"><img src="https://agentmods.dev/badge/commands/lllllllama/rigorpilot-skills/safe-debug/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/commands/lllllllama/rigorpilot-skills/safe-debug"><img src="https://agentmods.dev/badge/commands/lllllllama/rigorpilot-skills/safe-debug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00013 | $0.00133 |
| Opus 5.5 | $0.00005 | $0.00053 |
| Sonnet 5.5 | $0.00003 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
safe-debug 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 1mo 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.
What it actually says
Read and follow @skills/safe-debug/SKILL.md.
Use the current conversation context plus $ARGUMENTS as the failure report. If there is still no actionable traceback, command output, or failure description, ask for the missing failure context instead of guessing.
Stay in Rigor Debug:
- diagnose before patching
- prefer the smallest safe fix
- do not treat this as exploratory work
- preserve scientific meaning and trusted-lane semantics
Additional user context: $ARGUMENTS
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.
- 1mo ago First seen · 18 lines · 13 tokens per session scan A a3384cc1ecd9
safe-debug is a command published in the GitHub repository lllllllama/RigorPilot-Skills (485 stars, last pushed 27d ago), licensed MIT. It adds 13 tokens to every session and 133 once invoked, about $0.0001 per session on Opus 5.5. 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 commands, from other repositories
cleanup-all
Project-wide cleanup using an orchestrator-worker pattern. The main session is the orchestrator — it does NOT read files, run lean tools, or edit. It dispatches batched per-file Agent calls with tight prompts (working dir + branch + build state + sequence + target), then narrates progress in one-line scoreboards…
cite-check
Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.
lit-review
Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.
ctp-doctor
Check CellTypePilot environment — dependencies, capabilities, MCP status.
ml-project
Start a professional AI/ML research-engineer workflow for a task (any domain - CV, medical imaging, NLP/LLM, tabular, time-series). Researches papers first, picks the best method, trains/evaluates rigorously and honestly.
ars-abstract
ARS academic-paper abstract-only mode — bilingual abstract + keywords.