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 agentgit 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/agent)<a href="https://agentmods.dev/skills/oriolshhh/runware-image-mcp/agent"><img src="https://agentmods.dev/badge/skills/oriolshhh/runware-image-mcp/agent.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 | $0.00008 | $0.00374 |
| Opus 5 | $0.00004 | $0.00187 |
| Sonnet 5 | $0.00002 | $0.00075 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
agent 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 7d 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.
What it actually says
/agent — Create a focused agent definition
Purpose
Author a single-responsibility agent and register it.
Invocation
/agent <name>
Accepted input
The intended responsibility and how it differs from existing agents.
Prerequisites
A HarnessKit workspace.
Procedure
- Run
harnesskit add agent <name>to scaffold the named file and frontmatter. - Fill in purpose, responsibilities, inputs, instructions, output, boundaries, handoff, and related components.
- Apply
model-routing; setmodel_tier,reasoning_effort, and the smallest requiredskillspreload list. - Register it in
harness.yml, runharnesskit doctor, and re-export.
Approval points
None.
Expected output
A registered agents/<name>.md with all required sections.
Failure behavior
If the role overlaps an existing agent, refine or split instead of duplicating.
Completion checks
- The name is valid kebab-case and does not collide with an existing role.
- Purpose, triggers, inputs, procedure, output, boundaries, handoffs, evidence, and completion criteria are concrete rather than placeholders.
harnesskit doctorand the requested export succeed.
Agents and skills
Agent: agent-builder. Skill: model-routing.
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.
- 7d ago First seen · 49 lines · 8 tokens per session scan A 52e39d675f92
agent is a skill published in the GitHub repository Oriolshhh/runware-image-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 374 once invoked, about $0.0000 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 2026-08-31.
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