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 hasanaydin7/NeuralTech --skill neuralng-angulargit clone --depth 1 https://github.com/hasanaydin7/NeuralTechWrote 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/hasanaydin7/neuraltech/neuralng-angular)<a href="https://agentmods.dev/skills/hasanaydin7/neuraltech/neuralng-angular"><img src="https://agentmods.dev/badge/skills/hasanaydin7/neuraltech/neuralng-angular/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/hasanaydin7/neuraltech/neuralng-angular"><img src="https://agentmods.dev/badge/skills/hasanaydin7/neuraltech/neuralng-angular.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 Memory Poisoning · line 26 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium MCP Rug Pull · line 49 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00038 | $0.00523 |
| Opus 5.5 | $0.00015 | $0.00209 |
| Sonnet 5.5 | $0.00008 | $0.00105 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
neuralng-angular 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 1mo 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NeuralNg Angular
Use NeuralNg's versioned contracts instead of recalling or guessing component APIs.
Source of truth
Prefer sources in this order:
- The installed package's component
README.mdandllms.txt. - The local
@neural-ng/mcp-servercontract and resources. - https://neuralng.dev/llms-full.txt and hosted component documentation.
The installed version wins when hosted documentation differs. Do not invent selectors, declarations, inputs, outputs, models, tokens, icon names, aliases, NgModules, or compatibility claims.
Workflow
- Inspect the Angular version, existing styling approach, forms API and installed NeuralNg packages.
- Search by required behavior. With MCP, call
search_components, thenget_component_contract, then readneural://components/{id}/llms. - Import only documented standalone declarations from exact secondary entry points such as
@neural-ng/core/button. - Implement with native semantics, visible accessible names, keyboard and focus behavior, and the project's existing state pattern.
- Preserve Signal Forms, Reactive Forms or template-driven Forms behavior as documented, including disabled, readonly, required, invalid, touched and reset state.
- Use the existing theme. Prefer Neutral for stable defaults; use component tokens, typed class slots or
unstyledfor custom systems. Treat Glass, Mist and Futuristic as experimental. - Reuse
@neural-ng/iconsand verify the exactnt nt-*class before adding an unrelated icon dependency. - Run the repository's relevant typecheck, tests and browser or accessibility checks. Verify SSR or hydration when the changed surface renders on the server.
Installation when absent
Install packages only when the task authorizes dependency changes:
npm install @neural-ng/core @neural-ng/icons
Load the chosen theme and icon stylesheet once in global styles:
@import '@neural-ng/icons/icons.css';
@import '@neural-ng/core/themes/neutral.css';
Run the optional read-only MCP server with:
What ships with it
1 file 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.
- 1mo ago First seen · 53 lines · 38 tokens per session scan A 0ddd713eb54b
neuralng-angular is a skill published in the GitHub repository hasanaydin7/NeuralTech (11 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 523 once invoked, about $0.0002 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 2026-08-31.
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