SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.
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 zjunlp/SkillNet --skill alfworld-search-verifiergit 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/alfworld-search-verifier)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-search-verifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-search-verifier.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Privilege Escalation · line 36 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00075 | $0.00705 |
| Opus 5 | $0.00037 | $0.00352 |
| Sonnet 5 | $0.00015 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
alfworld-search-verifier 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 8d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
Trigger Condition: Use this skill when an initial search for a target object (e.g., cellphone) has been performed but the required quantity has not been found, or when you need to verify that no viable location was missed before task failure.
Core Procedure
-
Initialize Tracking: Maintain a mental or explicit list of all receptacles (
recep) you have already visited during your initial search (e.g.,sidetable 1,shelf 1-8,drawer 1,drawer 2,desk 1). -
Systematic Revisit: Do not search new, unvisited locations. Instead, systematically return to each previously visited receptacle in a logical order (e.g., by proximity or by the original search sequence).
- Action: Use
go to {recep}to navigate. - For Closed Receptacles: If a receptacle was closed during the initial search and you opened it, it may be closed again. Re-open it to verify its contents.
- Action: Use
open {recep}.
- Action: Use
- For Open/Empty Receptacles: Observe the contents again. The state may have changed, or an item may have been overlooked.
- Action: No action needed; read the
Observation.
- Action: Use
-
Verification Logic: For each revisited location:
- If the target object is now present, retrieve it (
take {obj} from {recep}) and proceed with the main task. - If the location is confirmed to lack the target object, note it as thoroughly checked and move to the next location on your list.
- If you encounter a closed receptacle you previously assumed was empty, opening it is a critical verification step.
- If the target object is now present, retrieve it (
-
Conclusion: After revisiting all locations on your list:
- If the target object was found: Integrate it into your main task plan.
- If the target object was not found: You can conclusively report that the object is not available in the searched area and adjust your task strategy accordingly (e.g., consider task failure or exploring a new, unsearched area).
Example
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.
- 8d ago First seen · 46 lines · 75 tokens per session scan A b4dfb3878baf
alfworld-search-verifier is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 4d ago), licensed MIT. It adds 75 tokens to every session and 705 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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