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/zjunlp/skillnet/scienceworld-instruction-readernpx skills add zjunlp/SkillNet --skill scienceworld-instruction-readergit clone --depth 1 https://github.com/zjunlp/SkillNetWrote 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/zjunlp/skillnet/scienceworld-instruction-reader)<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-instruction-reader"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-instruction-reader.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.00368 |
| Opus 5 | $0.00030 | $0.00184 |
| Sonnet 5 | $0.00012 | $0.00074 |
| Haiku 4.5 | $0.00006 | $0.00037 |
Grade A, and why
scienceworld-instruction-reader 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 4d 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
Skill: Instruction Reader
Purpose
Read and parse a document (recipe, note, or instructions) from your inventory to extract the information needed to execute the current task.
When to Use
- After picking up a recipe, note, or readable document.
- When the task requires following written instructions (e.g., mixing chemicals, assembling components).
- Before starting a multi-step procedure that depends on written directions.
Core Workflow
- Read the Document:
read OBJon the document in your inventory. - Extract Key Information:
- Goal: The final product or objective (e.g., "make salt water").
- Required Components: Items or substances needed (e.g., "sodium chloride, water").
- Procedural Steps: Actions or combinations described (e.g., "mix sodium chloride, water").
- Plan Next Actions: Use the extracted information to determine which skills and actions to invoke next.
Example
Task: Follow a recipe to make salt water.
pick up recipe— acquire the documentread recipe in inventory— output: "To make salt water, mix sodium chloride and water in a glass jar."- Extracted info:
- Goal: salt water
- Components: sodium chloride, water
- Procedure: mix in glass jar
- Proceed to fetch sodium chloride, water, and glass jar, then mix.
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.
- 4d ago First seen · 33 lines · 61 tokens per session scan A 62b108f79c40
scienceworld-instruction-reader is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed 14d ago), licensed MIT. It adds 61 tokens to every session and 368 once invoked, about $0.0003 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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