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-inventory-managementgit 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-inventory-management)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-inventory-management"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-inventory-management.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 69 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 | $0.00070 | $0.00848 |
| Opus 5 | $0.00035 | $0.00424 |
| Sonnet 5 | $0.00014 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
alfworld-inventory-management 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inventory Management Skill
When to Use
Activate this skill when:
- Task requires collecting multiple instances of the same object type (e.g., "put two cellphone in bed")
- You need to track progress toward a quantity-based goal
- Searching through multiple locations systematically
Core Workflow
1. Initialize Inventory
- Parse the task description to identify:
- Target object type (e.g., "cellphone")
- Required quantity (e.g., "two" = 2)
- Target receptacle (e.g., "bed 1")
- Initialize counters:
collected = 0,needed = <quantity> - Create empty list for searched locations
2. Systematic Search Pattern
Follow this search priority:
- Visible surfaces (desks, dressers, beds, countertops) - check first
- Closed containers (drawers, cabinets, safes) - open and inspect
- Less common locations (shelves, side tables, garbage cans)
- Return to known locations if inventory incomplete
Critical Rule: After finding an object, immediately place it at the target location before searching for the next one. Do not attempt to carry multiple objects simultaneously.
3. Action Decision Logic
Use this decision tree at each step:
Is target object visible in current observation?
├── YES → Take it, go to target receptacle, put it down
│ └── Increment collected counter
│ ├── collected == needed → TASK COMPLETE
│ └── collected < needed → Continue searching
└── NO → Have all receptacles been searched?
├── YES → Revisit receptacles (objects may have been missed)
└── NO → Go to next unsearched receptacle
4. Per-Object Cycle
For each object instance found, follow this exact sequence:
take {object} from {current_receptacle}go to {target_receptacle}put {object} in/on {target_receptacle}- Update counter:
collected += 1 - If
collected < needed, navigate to next unsearched receptacle
Example
Task: "Put two cellphone in bed 1."
> go to desk 1
On the desk 1, you see a cellphone 2, a pen 1.
> take cellphone 2 from desk 1
You pick up the cellphone 2 from the desk 1.
> go to bed 1
On the bed 1, you see a pillow 1.
> put cellphone 2 in/on bed 1
You put the cellphone 2 in/on the bed 1.
[collected: 1/2]
> go to dresser 1
On the dresser 1, you see a cellphone 3, a keychain 1.
> take cellphone 3 from dresser 1
You pick up the cellphone 3 from the dresser 1.
> go to bed 1
On the bed 1, you see a cellphone 2, a pillow 1.
> put cellphone 3 in/on bed 1
You put the cellphone 3 in/on the bed 1.
[collected: 2/2 — TASK COMPLETE]
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 · 83 lines · 70 tokens per session scan A 99d9e8d28a78
alfworld-inventory-management is a skill published in the GitHub repository zjunlp/SkillNet (1,254 stars, last pushed 3d ago), licensed MIT. It adds 70 tokens to every session and 848 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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