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 Lzy599775/agent-auto-sci-skills --skill agent-auto-sci-automationgit clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-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/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-automation)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-automation"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-automation/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/lzy599775/agent-auto-sci-skills/agent-auto-sci-automation"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-automation.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 | $0.00114 | $0.00507 |
| Opus 5 | $0.00057 | $0.00253 |
| Sonnet 5 | $0.00023 | $0.00101 |
| Haiku 4.5 | $0.00011 | $0.00051 |
Grade A, and why
agent-auto-sci-automation 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 10d 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
Agent Auto Sci Automation
Use this subskill to convert a one-off research task into a persistent workflow.
Fast Workflow
- Define the project root, source folders, output folders, and ownership boundaries.
- Create or update a source manifest: papers, notes, data, scripts, figures, manuscripts.
- Convert sources into structured memory: tables, indexes, concept notes, method notes, failed attempts.
- Route the task to literature, idea, experiment, analysis, writing, review, or archive stages.
- Add checkpoints for long-running workflows.
- Update the evolution archive after workflow improvements.
Read references/autosci_workflow_and_memory.md.
For deeper AutoSci encapsulation:
references/autosci_command_mapping.md: local mapping of AutoSci/init,/ideate,/novelty,/exp-design,/paper-plan,/review,/rebuttal, and visualization flows.references/api_and_checkpoint_templates.md: source manifest, checkpoint, API role, and failure-memory templates.
Default Memory Entities
sources: PDFs, data, notes, web pages.papers: structured paper records, DOI, topic, method, findings.concepts: definitions, boundaries, related concepts.methods: reusable analytical or writing methods.ideas: proposed, rejected, validated, or failed research ideas.experiments: empirical or computational tests, including failed runs.outputs: manuscripts, figures, tables, posters, slides.reviews: reviewer comments, internal critiques, response strategies.evolution: skill changes, new workflows, validation evidence.
Quality Rules
- Checkpoint before long workflows.
- Do not overwrite user-curated source boundaries without explicit instruction.
- Record failed ideas and weak evidence, not only successful outputs.
- Do not write secrets into logs or HTML.
What ships with it
4 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.
- 10d ago First seen · 45 lines · 114 tokens per session scan A 93324ae82bc3
agent-auto-sci-automation is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 114 tokens to every session and 507 once invoked, about $0.0006 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 2026-08-31.
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