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 iusztinpaul/squid --skill squid-scaffoldgit clone --depth 1 https://github.com/iusztinpaul/squidWrote 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/iusztinpaul/squid/squid-scaffold)<a href="https://agentmods.dev/skills/iusztinpaul/squid/squid-scaffold"><img src="https://agentmods.dev/badge/skills/iusztinpaul/squid/squid-scaffold/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/iusztinpaul/squid/squid-scaffold"><img src="https://agentmods.dev/badge/skills/iusztinpaul/squid/squid-scaffold.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02974 |
| Opus 5.5 | $0.00017 | $0.01190 |
| Sonnet 5.5 | $0.00008 | $0.00595 |
| Haiku 4.5 | $0.00004 | $0.00297 |
Grade A, and why
squid-scaffold 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 today.
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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold
Interactive bootstrap for a new repo (or a new component in an existing one): read only the specs under specs/ that apply, distil them into a tailored AGENTS.md, lay down an empty skeleton, hand back.
Modes
$ARGUMENTS may lead with mode=create (default) or mode=evaluate:
mode=create(default) — bootstrap a repo / component. The flow in "## Flow" below.mode=evaluate— audit an existing scaffolded repo for drift (report-only). Formode=evaluate, readevaluate.mdand follow E1–E4 instead of the Flow.
Every rule both modes honour lives in rules.md — the single source of truth; mode=create follows every P# + I# while composing, mode=evaluate audits the I#. Do not restate any rule in this file.
When to use
- Bootstrapping a brand-new repo.
- Adding a new runtime component (backend / frontend-web / frontend-tui) to an existing scaffolded repo.
- Re-generating the root
AGENTS.mdafter a major stack change (e.g. swapping Vue for React).
When NOT to use
- Authoring application source or business logic (
P1). - Adjusting opinions inside an existing project — edit the generated
AGENTS.mddirectly. - Non-polyglot single-package projects where the full machinery is overkill. (You can still use a single spec as reference, but skip the scaffold flow.)
Flow
1. Gather requirements
Use AskUserQuestion to collect answers. Consolidate where possible — one or two prompts, not a twelve-step interview. Minimum set:
- Project identity — name, short description, license (MIT / Apache-2.0 / proprietary). Name becomes the repo / root AGENTS.md title; slug is derived.
- Layout — monorepo (
packages/<c>/tree) or standalone single-package? - Components (multi-select; at least one required):
backend— Python service / pipeline / libraryfrontend-web— TypeScript browser SPAfrontend-tui— Go terminal UI
- Backend variant (if backend chosen):
fastapi-service/fastmcp-server/cli-tool-python/library-only. - Frontend-web framework (if frontend-web chosen):
react/vue/svelte/vanilla. - Frontend-tui framework (if frontend-tui chosen):
bubbletea(default) /tview. - Shared OpenAPI contracts (only if backend + ≥1 frontend): yes / no.
- Infra (multi-select):
docker,github-actions,pre-commit-hooks. - Agent team + tracker? yes (recommended) / no. Also: file-based tracker or GitHub Issues?
- Process & documentation (multi-select, optional):
adr(Architecture Decision Records underdocs/adr/),ubiquitous-language(project glossary atdocs/glossary.md). Recommendadrfor any project expected to live > 6 months; recommendubiquitous-languagefor backend services with named domain entities. - External services (optional, multi-select — skip any category that doesn't apply). Each selection pulls a
specs/<category>-<choice>.mdstub and emits a one-line bullet into the generated AGENTS.md, wrapped perI9:
- Datastore:
mongodb/postgresql/redis/sqlite/other/none - Orchestrator:
prefect/dagster/temporal/other/none - Observability & evals:
opik/opentelemetry/sentry/other/none - LLM API:
anthropic/openai/gemini/other/none - Embedding API:
voyageai/openai/sentence-transformers/other/none - Model serving:
modal/replicate/other/none - Web scraping:
firecrawl/playwright/requests-bs4/other/none
What ships with it
49 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.
- AGENTS_TEMPLATE.md 10 KB
- evaluate.md 3.2 KB
- rules.md 8.5 KB
- specs/adr.md 8.5 KB
- specs/cli-tool-python.md 5.0 KB
- specs/datastore-mongodb.md 596 B
- specs/datastore-postgresql.md 592 B
- specs/datastore-redis.md 645 B
- specs/datastore-sqlite.md 683 B
- specs/docker.md 432 B
- specs/embeddings-openai.md 632 B
- specs/embeddings-sentence-transformers.md 626 B
- specs/embeddings-voyageai.md 618 B
- specs/fastapi-service.md 456 B
- specs/fastmcp-server.md 5.5 KB
- specs/github-actions.md 445 B
- specs/go-tui-bubbletea.md 4.9 KB
- specs/go-tui-tview.md 4.4 KB
- specs/go-tui.md 8.0 KB
- specs/llm-anthropic.md 788 B
- specs/llm-gemini.md 503 B
- specs/llm-openai.md 505 B
- specs/makefile-delegator.md 14 KB
- specs/model-serving-modal.md 654 B
- specs/model-serving-replicate.md 575 B
- specs/monorepo-layout.md 13 KB
- specs/observability-opentelemetry.md 663 B
- specs/observability-opik.md 633 B
- specs/observability-sentry.md 599 B
- specs/openapi-contracts.md 470 B
- specs/orchestrator-dagster.md 751 B
- specs/orchestrator-prefect.md 792 B
- specs/orchestrator-temporal.md 800 B
- specs/pre-commit-hooks.md 6.2 KB
- specs/pyproject.md 6.7 KB
- specs/python-backend.md 16 KB
- specs/react-app.md 421 B
- specs/README.md 3.6 KB
- specs/ruff-python.md 3.7 KB
- specs/scraping-firecrawl.md 637 B
- specs/scraping-playwright.md 635 B
- specs/scraping-requests-bs4.md 758 B
- specs/svelte-app.md 382 B
- specs/tracker-workflow.md 3.5 KB
- specs/typescript-frontend.md 9.0 KB
- specs/ubiquitous-language.md 5.9 KB
- specs/uv-python.md 5.3 KB
- specs/vanilla-ts-app.md 458 B
- specs/vue-app.md 397 B
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.
- today Changed · -2 lines b7ba15d4e266
- 1mo ago Changed · -131 lines a4e9daa1d911
- 1mo ago First seen · 304 lines · 42 tokens per session scan A 175fa6c6464f
squid-scaffold is a skill published in the GitHub repository iusztinpaul/squid (210 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 2,974 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 2026-08-30.
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