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 agentmods add skills/dcc-mcp/dcc-mcp-core/async-render-examplenpx skills add dcc-mcp/dcc-mcp-core --skill async-render-examplegit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-coreWrote 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/dcc-mcp/dcc-mcp-core/async-render-example)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-core/async-render-example"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-core/async-render-example.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 | $0.00045 | $0.00373 |
| Opus 5 | $0.00023 | $0.00187 |
| Sonnet 5 | $0.00009 | $0.00075 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
async-render-example 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.
What it actually says
Async Render Example (issue #317)
This skill demonstrates the execution and timeout_hint_secs fields added
for issue #317. Tools are declared with either execution: sync (default)
or execution: async; the MCP server derives the deferredHint annotation
from this value and surfaces timeout_hint_secs under
_meta.dcc.timeoutHintSecs on the tool definition (never inside
annotations).
Behaviour
render_frames→execution: async+timeout_hint_secs: 600→tools/listentry gets"annotations": { "deferredHint": true, ... }and"_meta": { "dcc": { "timeoutHintSecs": 600 } }.quick_status→ noexecutionfield → defaultSync→"annotations": { "deferredHint": false, ... }and no_meta.
Script convention
Each script reads JSON parameters from stdin and writes a JSON result to stdout — the standard dcc-mcp-core skill script contract.
What ships with it
3 files 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.
- 4d ago First seen · 41 lines · 45 tokens per session scan A 562decfd3d9c
async-render-example is a skill published in the GitHub repository dcc-mcp/dcc-mcp-core (42 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 373 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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