Borrowing it
Nothing to install: this file belongs to Oriolshhh/runware-image-mcp. 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/Oriolshhh/runware-image-mcp/main/AGENTS.mdgit 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/instructions/oriolshhh/runware-image-mcp/agents-md)<a href="https://agentmods.dev/instructions/oriolshhh/runware-image-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/oriolshhh/runware-image-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.06026 | $0.06026 |
| Opus 5 | $0.03013 | $0.03013 |
| Sonnet 5 | $0.01205 | $0.01205 |
| Haiku 4.5 | $0.00603 | $0.00603 |
Grade A, and why
runware-image-mcp AGENTS.md 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 4d 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 — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.
harnesskit-workspace — Codex agent guide
Portable AI coding-agent behavior compiled from .agent/.
How to use this file
.agent/harness.ymlis the source of truth. Do not edit generated files; edit the source and runharnesskit export.- Apply the
context-discoveryskill before broad repository exploration: read.agent/context/README.mdand.agent/context/routing.mdwhen present, assess revision/scope freshness, then load only task-relevant context and verify critical claims against source. Coordinators should pass one concise context capsule to subagents so they do not all reload the same pack. - Component frontmatter is cheap discovery metadata. Agents, commands, and loops also declare model tier/reasoning; agents list skills to preload. Apply
model-routing, load only relevant components, and do not load everything by default. - Agents are logical roles, not guaranteed separate processes.
- Packs are composable behavior layers applied in priority order.
- Correctness and safety always override style packs.
- Explicit user instructions override pack preferences.
- Non-trivial changes should follow the spec-driven workflow.
Model routing
Apply the model-routing skill before delegation. Frontmatter tiers are preferred defaults, not ceilings: escalate for ambiguity, risk, irreversibility, conflicting evidence, or difficult synthesis; downgrade only after a task becomes mechanical with exact acceptance criteria.
HarnessKit emits native per-agent model settings for codex. Commands and loops still select their recommended tier when invoked.
| Component | Kind | Tier | Effort | Target selection | Preload |
|---|---|---|---|---|---|
accessibility-reviewer |
agent | heavy | high | GPT-5.5, high reasoning | accessible-ui-engineering, browser-visual-validation |
agent-builder |
agent | light | medium | GPT-5.4 mini | model-routing |
context-engineer |
agent | standard | medium | GPT-5.5 | repository-mapping, context-compression |
council-chair |
agent | heavy | high | GPT-5.5, high reasoning | decision-synthesis |
council-router |
agent | light | low | GPT-5.4 mini | specialist-routing, model-routing |
debugger |
agent | heavy | high | GPT-5.5, high reasoning | root-cause-debugging, context-discovery |
design-system-specialist |
agent | standard | medium | GPT-5.5 | design-system-integration |
devils-advocate |
agent | heavy | high | GPT-5.5, high reasoning | tradeoff-analysis |
frontend-design-lead |
agent | heavy | high | GPT-5.5, high reasoning | frontend-design-direction, design-system-integration |
frontend-implementer |
agent | standard | medium | GPT-5.5 | frontend-guidelines, design-system-integration, ui-state-design, responsive-ui-engineering, accessible-ui-engineering |
implementer |
agent | standard | medium | GPT-5.5 | minimal-diff, test-design, code-quality-guidelines |
interaction-design-specialist |
agent | standard | high | GPT-5.5 | ui-state-design, motion-design, accessible-ui-engineering |
motion-design-reviewer |
agent | standard | medium | GPT-5.5 | motion-design, browser-visual-validation |
operations-reviewer |
agent | standard | high | GPT-5.5 | tradeoff-analysis, context-discovery |
product-discovery |
agent | standard | medium | GPT-5.5 | requirements-triage, context-discovery |
product-reviewer |
agent | standard | high | GPT-5.5 | tradeoff-analysis |
reviewer |
agent | heavy | high | GPT-5.5, high reasoning | code-review, code-quality-guidelines |
security-reviewer |
agent | heavy | high | GPT-5.5, high reasoning | threat-modeling, context-discovery |
solution-architect |
agent | heavy | high | GPT-5.5, high reasoning | tradeoff-analysis, context-discovery |
spec-engineer |
agent | heavy | high | GPT-5.5, high reasoning | spec-engineering, requirements-triage, specialist-routing, model-routing |
task-router |
agent | standard | medium | GPT-5.5 | requirements-triage, specialist-routing, model-routing, context-discovery |
test-strategist |
agent | standard | high | GPT-5.5 | test-design, context-discovery |
tester |
agent | standard | medium | GPT-5.5 | test-design |
ux-reviewer |
agent | standard | medium | GPT-5.5 | ui-review, ui-state-design |
visual-assets-director |
agent | heavy | high | GPT-5.5, high reasoning | image-art-direction, visual-craft, design-system-integration, browser-visual-validation |
visual-craft-specialist |
agent | heavy | high | GPT-5.5, high reasoning | frontend-design-direction, visual-craft, design-system-integration |
visual-qa-tester |
agent | standard | medium | GPT-5.5 | browser-visual-validation |
agent |
command | standard | medium | GPT-5.5 | — |
build-context |
command | standard | medium | GPT-5.5 | — |
compress-context |
command | standard | high | GPT-5.5 | — |
council |
command | heavy | high | GPT-5.5, high reasoning | — |
debug |
command | heavy | high | GPT-5.5, high reasoning | — |
fix |
command | standard | medium | GPT-5.5 | — |
frontend-design |
command | heavy | high | GPT-5.5, high reasoning | — |
implement |
command | standard | medium | GPT-5.5 | — |
implement-spec-frontend |
command | heavy | high | GPT-5.5, high reasoning | — |
improve-ui-ux |
command | heavy | high | GPT-5.5, high reasoning | — |
invoke |
command | standard | medium | GPT-5.5 | — |
pack |
command | light | low | GPT-5.4 mini | — |
polish-with-images |
command | heavy | high | GPT-5.5, high reasoning | — |
review |
command | heavy | high | GPT-5.5, high reasoning | — |
spec |
command | heavy | high | GPT-5.5, high reasoning | — |
spec-detailed |
command | heavy | high | GPT-5.5, high reasoning | — |
spec-frontend |
command | heavy | high | GPT-5.5, high reasoning | — |
sum-spec |
command | light | medium | GPT-5.4 mini | — |
ui-review |
command | standard | high | GPT-5.5 | — |
context-compression |
loop | standard | high | GPT-5.5 | — |
debug-loop |
loop | heavy | high | GPT-5.5, high reasoning | — |
frontend-implementation |
loop | heavy | high | GPT-5.5, high reasoning | — |
improve-ui-ux |
loop | heavy | high | GPT-5.5, high reasoning | — |
review-fix |
loop | heavy | high | GPT-5.5, high reasoning | — |
solution-council |
loop | heavy | high | GPT-5.5, high reasoning | — |
spec-to-implementation |
loop | heavy | high | GPT-5.5, high reasoning | — |
ui-review |
loop | standard | high | GPT-5.5 | — |
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.
- 4d ago First seen · 304 lines · 6,026 tokens per session scan A 736c2c2d6a86
runware-image-mcp AGENTS.md is an instructions file published in the GitHub repository Oriolshhh/runware-image-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 6,026 tokens to every session, about $0.0301 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 2026-09-03.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.