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 Oriolshhh/runware-image-mcp --skill loop-frontend-implementationgit clone --depth 1 https://github.com/Oriolshhh/runware-image-mcpWrote 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/oriolshhh/runware-image-mcp/loop-frontend-implementation)<a href="https://agentmods.dev/skills/oriolshhh/runware-image-mcp/loop-frontend-implementation"><img src="https://agentmods.dev/badge/skills/oriolshhh/runware-image-mcp/loop-frontend-implementation/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/oriolshhh/runware-image-mcp/loop-frontend-implementation"><img src="https://agentmods.dev/badge/skills/oriolshhh/runware-image-mcp/loop-frontend-implementation.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 | $0.00022 | $0.00484 |
| Opus 5 | $0.00011 | $0.00242 |
| Sonnet 5 | $0.00004 | $0.00097 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
loop-frontend-implementation 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 8d 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.
This is a copy
86% identical to loop-context-compression — 41 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Loop: frontend-implementation
Follow the ordered workflow below. Respect every human-approval gate, iteration bound, and stop condition.
name: frontend-implementation
description: Design and build a new frontend surface with browser-backed quality evidence.
max_iterations: 3
steps:
- name: orient
instruction: Reuse repository context; normalize the user, task, surface, constraints, content, success criteria, preview, and test setup.
- name: system-map
agent: design-system-specialist
instruction: Map reusable tokens, primitives, components, themes, stories, and frontend conventions before proposing new ones.
- name: direction
agent: frontend-design-lead
instruction: Produce one planning-only, brief-specific direction, complete state/responsive contract, acceptance rubric, and smallest implementation plan without recursively invoking the end-to-end /frontend-design command.
- name: approve-material-decisions
instruction: Wait for explicit approval only when brand, navigation, product behavior, shared design-system APIs, or dependencies materially change.
gate: human-approval-when-required
- name: implement
agent: frontend-implementer
instruction: Implement the approved direction with complete states, responsive behavior, accessibility, tests, and no unapproved dependencies.
- name: browser-verify
agent: visual-qa-tester
instruction: Exercise the real UI across representative states and viewports; compare acceptance evidence and inspect console/network/runtime behavior.
- name: specialist-review
instruction: Run independent accessibility review and motion review when motion changed; return only verified in-scope blockers.
- name: gates-and-decide
instruction: Run configured gates; stop on acceptance, otherwise repeat only for an in-scope correction below max_iterations.
gate: gates/default.yml
Apply
context-discoverybefore broad scanning: use a supplied context capsule first; otherwise check context frontmatter freshness, read.agent/context/routing.md, load only relevant summaries, and verify critical claims against source.
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.
- 8d ago First seen · 42 lines · 22 tokens per session scan A 50ecbb58ac82
loop-frontend-implementation is a skill published in the GitHub repository Oriolshhh/runware-image-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 484 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to loop-context-compression, differing in 41 lines, and is treated as a copy.
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