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/implement/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/implement)<a href="https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/implement"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/implement/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/implement"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/implement.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 | $0.00036 | $0.02008 |
| Opus 5 | $0.00018 | $0.01004 |
| Sonnet 5 | $0.00007 | $0.00402 |
| Haiku 4.5 | $0.00004 | $0.00201 |
Grade A, and why
implement 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
implement - build the approved spec
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.
The approved blueprint/context/current-feature.md is the authoritative feature
packet. Implement it and stop before the work-level commit or merge.
Start
First action: Before project inspection, preflight, or any other tool call,
publish the implement activity as running when blueprint/.state/ exists.
Combine it with the first preflight tool batch when supported.
In one preflight batch, read:
blueprint/config.jsonblueprint/context/current-feature.md- the current branch, status, and recent relevant log
- the Commands section already loaded from
AGENTS.md
Stop for /doctor on invalid config. Stop for /feature, /fix, or /rollback
when the active spec is empty. Preserve unrelated worktree changes.
Do not reread the full project overview, coding standards, interaction guide, history, findings, or review ledger before coding. The approved spec already contains the product contract and applicable conventions. Read one targeted section only when the spec explicitly depends on a missing detail. Read findings and review state once at the final handoff.
Inspect the implementation surface in one targeted, batched read before editing. Use one additional read batch only when an exact dependency remains unknown and blocks the next change. Do not list or survey the repository, inspect unrelated examples, or run scratch environment probes. Follow the declared runtime and existing target-area patterns, then let the narrow check expose incompatibilities.
Resolve the work branch before editing. Use the exact **Branch:** value in the
spec when present. For an older spec without it, combine the configured prefix
for its type with the work title: lowercase ASCII letters and digits, replace
each run of other characters with one hyphen, and trim edge hyphens. Feature
titles come from the named build-plan item; fix and rollback titles come from
their spec heading or target. Stop if the type or title is ambiguous. Create or
switch to that exact branch and never implement on the default branch. On
resume, start at the first unchecked build step and use git status plus the
checked boxes to distinguish finished work from unfinished work.
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 · +25 lines cc4a17c92617
- 3d ago Changed · +19 lines 00b80b2e09de
- 5d ago Changed · -121 lines · -95 tokens per session f5bb9695150b
- 9d ago First seen · 262 lines · 131 tokens per session scan A 1a8e10b628bb
implement is a skill published in the GitHub repository aiblueprinthq/ai-blueprint (378 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 2,008 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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