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-task-verifiernpx skills add zjunlp/SkillNet --skill alfworld-task-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-task-verifier)<a href="https://agentmods.dev/skills/zjunlp/skillnet/alfworld-task-verifier"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/alfworld-task-verifier.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 | $0.00071 | $0.00670 |
| Opus 5 | $0.00036 | $0.00335 |
| Sonnet 5 | $0.00014 | $0.00134 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
alfworld-task-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 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Task Verifier for ALFWorld
When to Use
Trigger this skill when:
- The agent has just completed a key sub-action (e.g.,
put {obj} in/on {recep}) - The agent needs to determine whether the overall task goal is satisfied
- The agent must decide whether to continue searching or conclude the task
Core Workflow
1. Parse the Task Goal
Extract from the original task description:
- Target object(s): What needs to be found/placed (including quantity)
- Target receptacle: Where objects must end up
- Required transformations: Any cleaning, heating, or cooling steps
2. Analyze the Observation
Evaluate the most recent Observation: text from the environment:
- Look for evidence that required objects are present in the target receptacle
- Count how many target objects have been successfully placed
- Note: Other items in the receptacle do not invalidate success
3. Make a Verification Decision
| Condition | Decision | Output |
|---|---|---|
| All required objects confirmed in target receptacle | Complete | Verification: Task complete. No further action needed. |
| Some but not all objects placed | Incomplete | Verification: Task incomplete. Continue searching for {missing object(s)}. |
| Observation says "Nothing happened" | Ineffective | Verification: Last action was ineffective. Re-assess and try a different approach. |
| Object placed in wrong receptacle | Incorrect | Verification: Object placed in wrong location. Retrieve and redirect to {correct receptacle}. |
4. Output Format
Output only the verification decision. Do not output the next action. This skill informs the planning for the next step, not the execution.
Example
Task: "Find two pen and put them in garbagecan."
Action: put pen 3 in/on garbagecan 1
Observation: You put the pen 3 in/on the garbagecan 1.
> Verification: Task incomplete. Continue searching for pen (1 of 2 placed).
Action: put pen 1 in/on garbagecan 1
Observation: You put the pen 1 in/on the garbagecan 1.
> Verification: Task complete. No further action needed.
What ships with it
2 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.
- 3d ago First seen · 67 lines · 71 tokens per session scan A c6627bfb85b7
alfworld-task-verifier is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed 14d ago), licensed MIT. It adds 71 tokens to every session and 670 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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