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 Kilo-Org/kilo-marketplace --skill hadoopgit clone --depth 1 https://github.com/Kilo-Org/kilo-marketplaceWrote 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/kilo-org/kilo-marketplace/hadoop)<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/hadoop"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/hadoop/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/hadoop"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/hadoop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, 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 Tool Misuse · line 140 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 140 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 141 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Excessive Agency · line 211 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00021 | $0.01616 |
| Opus 5 | $0.00010 | $0.00808 |
| Sonnet 5 | $0.00004 | $0.00323 |
| Haiku 4.5 | $0.00002 | $0.00162 |
Grade A, and why
hadoop 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 9d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup
If ~/hadoop/ doesn't exist or is empty, read setup.md and start the conversation naturally.
When to Use
User works with Hadoop ecosystem (HDFS, YARN, MapReduce, Hive). Agent handles cluster diagnostics, job optimization, storage management, and troubleshooting distributed processing failures.
Architecture
Memory lives in ~/hadoop/. See memory-template.md for structure.
~/hadoop/
├── memory.md # Cluster configs, common issues, preferences
├── clusters/ # Per-cluster notes and configs
│ └── {name}.md # Specific cluster context
└── scripts/ # Custom diagnostic scripts
Quick Reference
| Topic | File |
|---|---|
| Setup process | setup.md |
| Memory template | memory-template.md |
| HDFS operations | hdfs.md |
| YARN tuning | yarn.md |
| Troubleshooting | troubleshooting.md |
Core Rules
1. Verify Cluster State First
Before any operation, check cluster health:
hdfs dfsadmin -report
yarn node -list
Never assume cluster is healthy. A single dead DataNode changes everything.
2. Storage Before Compute
HDFS issues cascade into job failures. Always check:
hdfs dfs -df -h # Capacity
hdfs fsck / -files -blocks # Block health
A job failing with "No space left" is storage, not code.
3. Resource Calculator Awareness
YARN allocates based on configured scheduler. Know which is active:
yarn rmadmin -getServiceState rm1
cat /etc/hadoop/conf/yarn-site.xml | grep scheduler
Default (Capacity) vs Fair scheduler behave very differently.
4. Replication Factor Context
Default replication=3. For temp data, suggest 1-2 to save space:
hdfs dfs -setrep -w 1 /tmp/scratch/
For critical data, verify replication is honored:
hdfs fsck /data/critical -files -blocks -replicaDetails
5. Log Location Awareness
Hadoop logs scatter across machines. Key locations:
| Component | Log Path |
|---|---|
| NameNode | /var/log/hadoop-hdfs/hadoop-hdfs-namenode-*.log |
| DataNode | /var/log/hadoop-hdfs/hadoop-hdfs-datanode-*.log |
| ResourceManager | /var/log/hadoop-yarn/yarn-yarn-resourcemanager-*.log |
| NodeManager | /var/log/hadoop-yarn/yarn-yarn-nodemanager-*.log |
| Application | yarn logs -applicationId <app_id> |
What ships with it
7 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.
- 9d ago First seen · 223 lines · 21 tokens per session scan A 86b94751715b
hadoop is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 22d ago), licensed Apache-2.0. It adds 21 tokens to every session and 1,616 once invoked, about $0.0001 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 2026-09-03.
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