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 kastelldev/kastell --skill kastell-researchgit clone --depth 1 https://github.com/kastelldev/kastellWrote 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/kastelldev/kastell/kastell-research)<a href="https://agentmods.dev/skills/kastelldev/kastell/kastell-research"><img src="https://agentmods.dev/badge/skills/kastelldev/kastell/kastell-research.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Agent Snooping · line 69 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00042 | $0.01011 |
| Opus 5 | $0.00021 | $0.00505 |
| Sonnet 5 | $0.00008 | $0.00202 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
kastell-research 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kastell Research
Purpose
Explore the Kastell codebase using read-only tools (Read, Grep, Glob). Runs in a forked Explore agent with Kastell architecture knowledge inlined.
When to Use
- Bug investigation: Trace a bug from CLI command through core logic to adapters/providers. Start at the command file, follow imports to core, check utils and adapters.
- Feature mapping: Map all callsites of a function, trace the import chain, understand how subsystems connect before making changes.
- Architecture question: Understand how audit categories work, how the adapter dispatch flows, or how lock hardening steps are structured.
Live Codebase
Commands:
!node -e "import('fs').then(f=>console.log(f.readdirSync('src/commands').filter(x=>x.endsWith('.ts')).map(x=>x.replace('.ts','')).join(', '))).catch(()=>console.log('commands dir not found'))"
Provider registry:
!node -e "import('fs').then(f=>{const c=f.readFileSync('src/constants.ts','utf8');const m=c.match(/PROVIDER_REGISTRY[\s\S]{0,200}/);console.log(m?m[0].split('\n').slice(0,4).join('\n'):'not found')}).catch(()=>console.log('constants.ts not found'))"
Architecture Map
src/
commands/ # 31 thin CLI wrappers (parse args + delegate only)
core/ # Business logic (ALL computation here)
audit/ # Audit categories
lock/ # Server hardening
providers/ # Cloud API: hetzner, digitalocean, vultr, linode
adapters/ # Platform abstraction: coolify, dokploy
factory.ts # getAdapter(platform) — entry point
mcp/
server.ts # Tool registrations
tools/ # Handler files
utils/ # ssh, config, cloudInit, modeGuard
types/ # ServerMode, ServerRecord, Platform
constants.ts # PROVIDER_REGISTRY
Layer Flow
Commands (parse args) --> Core (business logic) --> Providers (cloud API) / Adapters (platform ops). MCP tools also delegate to Core.
Research Workflows
Bug investigation:
- Find the command file (
src/commands/<name>.ts) - Follow the core import (
src/core/<name>.ts) - Check adapter/provider calls
- Check utils (ssh, config)
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 · 91 lines · 42 tokens per session scan A ac577e2ee541
kastell-research is a skill published in the GitHub repository kastelldev/kastell (60 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 1,011 once invoked, about $0.0002 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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