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 Espenandreass1/agentslice --skill pick-tech-stackgit clone --depth 1 https://github.com/Espenandreass1/agentsliceWrote 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/espenandreass1/agentslice/pick-tech-stack)<a href="https://agentmods.dev/skills/espenandreass1/agentslice/pick-tech-stack"><img src="https://agentmods.dev/badge/skills/espenandreass1/agentslice/pick-tech-stack/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/espenandreass1/agentslice/pick-tech-stack"><img src="https://agentmods.dev/badge/skills/espenandreass1/agentslice/pick-tech-stack.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 | $0.00020 | $0.00212 |
| Opus 5.5 | $0.00008 | $0.00085 |
| Sonnet 5.5 | $0.00004 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
pick-tech-stack 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.
What it actually says
Pick Tech Stack
Read
Verify the canonical workspace and minimal preflight. Add planning context and inspect project manifests only as needed.
Guardrails
- Do not install dependencies, create application code, or create CI files.
- Recommend one default, not a long menu; record it only after human approval.
- Consider the policy's sensitive areas and preserve active decisions only.
Defaults
- Simple SaaS/dashboard: Next.js + TypeScript + managed Postgres/Auth + Vercel.
- Static content: Astro or static Next.js + Vercel.
- Python/data API: FastAPI + Postgres + managed hosting.
- AI web app: Next.js + TypeScript + Postgres + selected provider SDK; add queues only when proven.
Output
Give recommendation, short trade-off, and approval needed. Update tech stack and active context after approval; no checkpoint unless a controlled handoff needs one.
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 Changed · -3 lines · -9 tokens per session 0b93d9815329
- 1mo ago First seen · 31 lines · 29 tokens per session scan A b1798a9429e9
pick-tech-stack is a skill published in the GitHub repository Espenandreass1/agentslice (4 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 212 once invoked, about $0.0001 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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