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 huaweicloud/huaweicloud-skills --skill huawei-cloud-kafka-replica-reassignmentgit clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsWrote 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/huaweicloud/huaweicloud-skills/huawei-cloud-kafka-replica-reassignment)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-kafka-replica-reassignment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-kafka-replica-reassignment/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/huaweicloud/huaweicloud-skills/huawei-cloud-kafka-replica-reassignment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-kafka-replica-reassignment.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00251 | $0.03069 |
| Opus 5.5 | $0.00100 | $0.01228 |
| Sonnet 5.5 | $0.00050 | $0.00614 |
| Haiku 4.5 | $0.00025 | $0.00307 |
Grade A, and why
huawei-cloud-kafka-replica-reassignment 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 18d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kafka Replica Expansion & Partition Reassignment
Expand Kafka cluster partitions from their current replication factor to a target factor and
produce partition reassignment JSON that can be passed directly to
kafka-reassign-partitions.sh --execute.
Configurable Parameters
| Parameter | Default | Description |
|---|---|---|
replica_count |
2 | Target replication factor. Accepts 2, 3, N. The scripts add replica_count - current_replicas new replicas per partition. |
disk_threshold |
70 | Disk usage ceiling (%). After allocation, no mount point's projected usage may exceed this value. |
json_strategy |
size_10g |
Strategy for splitting the output JSON, described below. |
json_strategy_param |
10 | Strategy parameter (topic-count threshold or size threshold, depending on strategy). |
JSON Split Strategies
| Strategy | Meaning | Parameter Usage |
|---|---|---|
size_10g |
Topics with any single partition > 10 GB get their own JSON file; the rest are merged into a common file. | json_strategy_param = size threshold (GB), default 10 |
topic_count |
Merge N topics into one JSON file. | json_strategy_param = topic count, default 10 |
single_file |
Merge all partitions into one JSON file. | none |
per_topic |
One JSON file per topic. | none |
custom |
Combined strategy. | json_strategy_param = JSON string, e.g. {"big_size": 10, "small_batch": 10}: topics larger than big_size get one file each, the remaining topics are packed small_batch per file |
Users can also define combined strategies in the UI, e.g. "one file per topic larger than 10 GB,
then 10 topics per file for the rest" — this combination maps to the custom strategy.
The Three Stages (sequential, each gated by checks)
Stage 1: Allocate new replicas -> check -> PASS? -> Stage 2
Stage 2: Merge master table -> check -> PASS? -> Stage 3
Stage 3: Emit JSON -> check -> PASS? -> Deliver
What ships with it
27 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.
- assets/broker_template.xlsx 8.1 KB
- assets/topic_template.xlsx 5.8 KB
- evals/build_fixtures.py 4.0 KB runs code
- evals/evals.json 9.0 KB
- evals/fixtures/l3_block/broker.xlsx 5.0 KB
- evals/fixtures/l3_block/topic.xlsx 4.9 KB
- evals/fixtures/no_other_broker/broker.xlsx 5.1 KB
- evals/fixtures/no_other_broker/topic.xlsx 4.9 KB
- evals/fixtures/pre_existing_over_threshold/broker.xlsx 8.1 KB
- evals/fixtures/pre_existing_over_threshold/topic.xlsx 5.8 KB
- evals/run_evals.py 20 KB runs code
- README.md 10 KB
- references/execution-safety.md 5.1 KB
- references/stage1-allocate.md 8.5 KB
- references/stage2-merge.md 4.7 KB
- references/stage3-json.md 7.2 KB
- references/validation-rules.md 9.4 KB
- scripts/app.py 20 KB runs code
- scripts/generate_templates.py 5.8 KB runs code
- scripts/report.py 9.8 KB runs code
- scripts/requirements.txt 29 B
- scripts/stage1_allocate.py 31 KB runs code
- scripts/stage2_merge.py 10.0 KB runs code
- scripts/stage3_json.py 30 KB runs code
- scripts/tabio.py 5.3 KB runs code
- scripts/validate.py 15 KB runs code
- templates/index.html 28 KB
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.
- 18d ago First seen · 217 lines · 251 tokens per session scan A 8f0ef05b7b26
huawei-cloud-kafka-replica-reassignment is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 251 tokens to every session and 3,069 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-10-10.
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