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/alfworld-search-pattern-executornpx skills add zjunlp/SkillNet --skill alfworld-search-pattern-executorgit clone --depth 1 https://github.com/zjunlp/SkillNetWrote this? Show the measurements
A badge for your README with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them.
[](https://agentmods.dev/skills/zjunlp/skillnet/alfworld-search-pattern-executor)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 | $0.00074 | $0.00588 |
| Opus 5 | $0.00037 | $0.00294 |
| Sonnet 5 | $0.00015 | $0.00118 |
| Haiku 4.5 | $0.00007 | $0.00059 |
Grade A, and why
alfworld-search-pattern-executor 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 3d 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
Instructions
For each candidate receptacle in order, execute this action sequence:
Workflow
- Navigate:
go to {receptacle} - Open if closed: If observation says "{receptacle} is closed", execute
open {receptacle} - Inspect: Read the observation for the target object name
- If found: Execute
take {target_object} from {receptacle}and stop searching - If not found: If you opened the receptacle, execute
close {receptacle}, then continue to the next candidate - If all exhausted: Report that the target was not found in any candidate location
Action Format
go to {receptacle}-- navigate to a locationopen {receptacle}-- open a closed drawer/cabinet/fridgeclose {receptacle}-- close after checking (state management)take {object} from {receptacle}-- pick up the target when found
Key Rules
- Search candidates in order; do not skip locations
- Always close drawers/cabinets after checking if you opened them
- Once the object is found, immediately stop searching and proceed to the next task phase
- If "Nothing happened" is returned, verify the receptacle name and retry with the correct identifier
Example
Goal: "find two remotecontrol and put them in armchair."
Thought: I need to find remotecontrol. Candidates: sofa 1, sidetable 1, coffeetable 1. Starting search.
Action: go to sofa 1
Observation: On the sofa 1, you see a pillow 1.
Thought: No remotecontrol on sofa 1. Checking next candidate.
Action: go to sidetable 1
Observation: On the sidetable 1, you see a keychain 1.
Thought: Not here either. Checking coffeetable.
Action: go to coffeetable 1
Observation: On the coffeetable 1, you see a remotecontrol 1, a remotecontrol 2.
Action: take remotecontrol 1 from coffeetable 1
Observation: You pick up the remotecontrol 1 from the coffeetable 1.
Result: First remotecontrol found and picked up. Proceed to place it in armchair 1, then re-activate search for the second one.
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.
- 3d ago First seen · 48 lines · 74 tokens per session scan A e6fbd32908d6
alfworld-search-pattern-executor is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed 14d ago), licensed MIT. It adds 74 tokens to every session and 588 once invoked, about $0.0004 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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