Borrowing it
Nothing to install: this file belongs to aiblueprinthq/ai-blueprint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aiblueprinthq/ai-blueprint/main/.agents/skills/overview/SKILL.mdgit clone --depth 1 https://github.com/aiblueprinthq/ai-blueprintWrote 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/aiblueprinthq/ai-blueprint/overview)<a href="https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/overview"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/overview/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/aiblueprinthq/ai-blueprint/overview"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/overview.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 | $0.00046 | $0.03221 |
| Opus 5 | $0.00023 | $0.01611 |
| Sonnet 5 | $0.00009 | $0.00644 |
| Haiku 4.5 | $0.00005 | $0.00322 |
Grade A, and why
overview 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 yesterday.
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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
overview - turn the two plans into the AI-facing source of truth
Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.
First action: Before project inspection, preflight, or any other tool call,
publish running to blueprint/.state/run.json using the dashboard activity
contract in AGENTS.md.
Where this sits in the workflow:
project-plan.md + build-plan.md -> [this skill] -> project-overview.md -> /feature -> build
(what & why, (high-level (compact product (one spec
written by you) feature list, context loaded at a time)
written by you) on demand)
You provide two files: blueprint/project-plan.md (what & why) and
blueprint/build-plan.md (the ordered feature list), drafted directly, through
any AI conversation, or with the optional /discovery skill. What matters is
that you own their content. /discovery is never required. Everything else in
the workflow is generated from those two. This skill is the first generation
step: it distills both plans into blueprint/context/project-overview.md, the
compact doc workflow skills load on demand when they need durable product
context.
Input
The two planning docs, already written:
blueprint/project-plan.md- problem, users, features, data, tech, monetization, UI/UX, deploymentblueprint/build-plan.md- the ordered, one-line-per-feature list; bullets, numbered lists, and clearly separated feature lines are accepted
If project-plan.md is missing or still a placeholder, ask the user to supply
their project decisions. This skill distills plans; it does not invent them.
For a missing or placeholder-only build plan, follow Step 2's reviewed
reconciliation instead of generating an overview without a real feature list.
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.
- yesterday Changed · +2 lines ff0f475bef9b
- 5d ago Changed · +2 lines 079cc45e224f
- 7d ago Changed · +94 lines · -42 tokens per session c9dfc7fe41d0
- 11d ago First seen · 172 lines · 88 tokens per session scan A c36cfbd1762d
overview is a skill published in the GitHub repository aiblueprinthq/ai-blueprint (393 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 3,221 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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