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 serejaris/kimi-skills --skill batch-downloadgit clone --depth 1 https://github.com/serejaris/kimi-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/serejaris/kimi-skills/batch-download)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/batch-download"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/batch-download/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/serejaris/kimi-skills/batch-download"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/batch-download.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 | $0.00111 | $0.03026 |
| Opus 5 | $0.00056 | $0.01513 |
| Sonnet 5 | $0.00022 | $0.00605 |
| Haiku 4.5 | $0.00011 | $0.00303 |
Grade A, and why
batch-download 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 11d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Download
Orchestrate multi-agent batch discovery and retrieval: plan the task decomposition, delegate atomic subtasks to parallel sub-agents, gather and verify evidence, then integrate and validate all results into a structured deliverable. The Orchestrator coordinates — sub-agents execute.
Workflow Decision Tree
Determine the entry point based on user input:
User Query
│
├─ Type A — Targets unknown (must search first)
│ → Phase 1 (Plan) → Phase 2 (Search & Discovery)
│ → Phase 3 (Parallel Download) → Phase 4 (Integrate & Validate)
│
├─ Type B — Targets already provided (URLs / file list given)
│ → Phase 1 (Plan) → Phase 2 (URL Validation & Pattern Discovery)
│ → Phase 3 (Parallel Download) → Phase 4 (Integrate & Validate)
│
└─ Hybrid — Some targets known, some must be discovered
→ Phase 1 (Plan) → Phase 2 (Partial Search + Validation)
→ Phase 3 (Parallel Download) → Phase 4 (Integrate & Validate)
All types follow the same 1→2→3→4 sequence. The difference is Phase 2's scope: Type A performs full search, Type B validates known URLs and discovers patterns, Hybrid does both.
Phase 1: Task Decomposition (Orchestrator Only)
Goal: Break the user request into clear, atomic, verifiable subtasks before any execution.
Process:
- Restate the user's request in operational terms
- Identify the task type (Type A / Type B / Hybrid) based on whether target URLs are known
- Decompose into atomic subtasks:
- Each subtask has one well-defined goal (e.g., "download report for 2021 from URL X")
- Each subtask is independent where possible (to enable parallelization)
- Each subtask has explicit success criteria (file type, size, content validation)
- For multi-dimensional requests (different years / regions / categories / file types / data sources), create one subtask per dimension
- Plan search subtasks explicitly (if Type A or Hybrid):
- Do NOT assign "all search" to a single agent when multiple independent searches are possible
- Parallelize partitionable search spaces: by year, by site, by category, by alphabet range, by region — each partition gets its own search sub-agent
- Plan retry strategies: if a search attempt fails, plan alternative queries, sites, or filters as new subtasks rather than giving up
- If the search task is complex, split into multiple sequential stages (e.g., find index page → extract file links → validate → download)
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.
- 11d ago First seen · 270 lines · 111 tokens per session scan A f1628ae3bc72
batch-download is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 3,026 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
offensive-wifi
Wireless / 802.11 attack methodology for red team engagements and wireless security assessments. Covers monitor-mode setup, WPA/WPA2-PSK handshake capture and PMKID attacks, WPA3 SAE downgrade and Dragonblood, WPA-Enterprise (EAP) attacks (MSCHAPv2 cracking, EAP-TLS cert theft, evil-twin RADIUS), Karma / Known Beacons…
syndic
Gère un parc de copropriétés en France avec vue portfolio consolidée. Couvre administration, comptabilité (décret 2005, plan comptable copro, 5 annexes), assemblées générales (convocation, PV, notification), appels de fonds, travaux, fournisseurs, recouvrement d'impayés et transition de syndic. Maîtrise les majorités…
offensive-bluetooth-classic
Bluetooth Classic (BR/EDR) attack methodology — device discovery, service enumeration via SDP, LMP/L2CAP layer attacks, legacy PIN cracking (BlueBorne / KNOB), Bluetooth file-transfer abuse (BlueSnarfing legacy), unauthenticated profile abuse (HSP, HFP, OPP), and modern relevance against older industrial / automotive…
agent-wiki
Incremental LLM-friendly wiki generator for Obsidian note vaults. Use when: (1) Building wiki from notes, (2) Ingesting notes to wiki, (3) Obsidian LLM wiki, (4) Incremental knowledge base management. Triggers: 'build wiki from notes', 'ingest notes to wiki', 'Obsidian LLM wiki', 'incremental knowledge base'.
design-md-validator
Validate DESIGN.md files against the official Google specification using the @google/design.md CLI linter. Works with local files. Use when the user wants to lint a DESIGN.md, check spec compliance, find broken token references, verify WCAG contrast ratios, diff two versions, export tokens to Tailwind or DTCG format…
agent-ready-oauth-protected-resource
Sub-skill de agent-ready-cloudflare: Implement OAuth Protected Resource Metadata.