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 sembraniteam/claude-plugins --skill implementgit clone --depth 1 https://github.com/sembraniteam/claude-pluginsWrote 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/sembraniteam/claude-plugins/implement)<a href="https://agentmods.dev/skills/sembraniteam/claude-plugins/implement"><img src="https://agentmods.dev/badge/skills/sembraniteam/claude-plugins/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/sembraniteam/claude-plugins/implement"><img src="https://agentmods.dev/badge/skills/sembraniteam/claude-plugins/implement.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 | $0.00099 | $0.03499 |
| Opus 5.5 | $0.00040 | $0.01400 |
| Sonnet 5.5 | $0.00020 | $0.00700 |
| Haiku 4.5 | $0.00010 | $0.00350 |
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 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Designer — Implementation Workflow
This skill turns an approved architecture document into a working project skeleton: data models, API stubs, configuration files, and infrastructure files. It always proposes a folder structure first and waits for the user's confirmation before writing any files.
Scripts and shared-reference paths: this file has no references/ of its own and points into the sibling design
skill's references/ directory throughout (first used just below, in "Before starting"). See "Path resolution" at the
bottom of this file for how both <scripts_dir> and design/references/... paths resolve.
Before starting — session completeness gate
Check for docs/architecture-designer/session.json:
- If the file exists: read it in full, then run
python3 <scripts_dir>/validate-session.pyand show its output — this is a hard gate; do not proceed to Step 1 until it reportsSESSION CHECK PASSED. Seedesign/references/session-schema.mdsection "Session completeness gate" for what the script checks, how to resolve a failure, and why this gate applies toimplementeven though its steps mostly work from the confirmed architecture document rather than the session stages directly. Reading it in full here (rather than only running the validator) is what makes itsstage5object available as a cross-check for Step 3's "Technology stack" input — the architecture document itself is that input's primary source, notstage5(see Step 3 for why). - If the file does not exist: this gate only applies when
session.jsonexists — proceed without it. The architecture document confirmed in Step 1 is the authoritative source of truth for implementation in that case.
Step 1 — Find the architecture document
Check for an architecture document path in this order:
docs/architecture-designer/session.json— if it exists and contains adocumentsarray, use its last entry (the most recently saved document) — the authoritative location when this skill follows a design session in the same working directory. If that path doesn't resolve to an existing file (moved or deleted since), fall back to option 2, not directly to option 3 — a stale recorded path doesn't mean no path is available; the current conversation may still hold the correct one.- Current conversation context — if the user just completed a
/architecture-designer:designor/architecture-designer:reviewsession and the document path is visible in the conversation. - Manual selection — if neither above yields a path, proceed to list files as described below.
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 · 218 lines · 99 tokens per session scan A 62c1f1668af4
implement is a skill published in the GitHub repository sembraniteam/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 99 tokens to every session and 3,499 once invoked, about $0.0004 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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