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 hexacron/claude-transformatron-9000 --skill maltego-transform-discovergit clone --depth 1 https://github.com/hexacron/claude-transformatron-9000Wrote 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/hexacron/claude-transformatron-9000/maltego-transform-discover)<a href="https://agentmods.dev/skills/hexacron/claude-transformatron-9000/maltego-transform-discover"><img src="https://agentmods.dev/badge/skills/hexacron/claude-transformatron-9000/maltego-transform-discover/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/hexacron/claude-transformatron-9000/maltego-transform-discover"><img src="https://agentmods.dev/badge/skills/hexacron/claude-transformatron-9000/maltego-transform-discover.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 | $0.00027 | $0.00765 |
| Opus 5 | $0.00014 | $0.00382 |
| Sonnet 5 | $0.00005 | $0.00153 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade C, and why
maltego-transform-discover scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s http://127.0.0.1:8080/api/v3/transforms | python -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: "Requires Python 3.10+ and a running maltego-transforms SDK server (default http://127.0.0.1:8080); the discovery script and curl examples make live HTTP calls to it." How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maltego Transform Discover Skill
Purpose
Discover the transforms and entities exposed by a running maltego-transforms SDK server using its built-in discovery endpoints. This is the current, modern discovery path for SDK servers.
Step-by-Step: Discover a Server
1. Confirm the Server Is Running
curl -o /dev/null -w "%{http_code}\n" http://127.0.0.1:8080/api/v3/transforms
# Expect: 200
If not running, start it with python project.py.
2. List All Transforms
curl -s http://127.0.0.1:8080/api/v3/transforms | python -m json.tool
Each transform entry includes:
name— the transform identifier used in/api/v3/transforms/<id>/runcallsdisplay_name— human-readable nameinput— accepted graph/entity input definition and type IDsdescription— optional descriptiontransform_settings— per-transform settings declarations
3. List All Entities
curl -s http://127.0.0.1:8080/api/v3/assets/entities | python -m json.tool
Each entity entry includes:
id— entity type identifier (e.g.,maltego.Domain)display_name— human-readable nameproperties— list of property definitions
4. Get Details for a Specific Transform
curl -s http://127.0.0.1:8080/api/v3/transforms/<transform_id> | python -m json.tool
Use this to inspect input constraints, settings, and accepted entity types for a single transform.
5. Check Server Configuration
curl -s http://127.0.0.1:8080/health | python -m json.tool
Reports server health and may expose non-sensitive config (e.g., which transforms are loaded).
Load Reference If Needed
Load references/direct-server-discovery.md for:
- Full endpoint reference with example responses.
- How to parse transform and entity lists.
- curl command examples for scripted discovery.
- Notes on legacy pTDS/iTDS formats (for recognizing TRX-era projects only).
Use scripts/discover_server.py to programmatically query a running server:
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.
- 8d ago First seen · 92 lines · 27 tokens per session scan C fbbb96ed0ce1
maltego-transform-discover is a skill published in the GitHub repository hexacron/claude-transformatron-9000 (0 stars, last pushed 21d ago), licensed MIT. It adds 27 tokens to every session and 765 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…