Borrowing it
Nothing to install: this file belongs to jenkinsm13/resolve-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/jenkinsm13/resolve-mcp/main/.claude/skills/multi-deliver/SKILL.mdgit clone --depth 1 https://github.com/jenkinsm13/resolve-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/jenkinsm13/resolve-mcp/multi-deliver)<a href="https://agentmods.dev/skills/jenkinsm13/resolve-mcp/multi-deliver"><img src="https://agentmods.dev/badge/skills/jenkinsm13/resolve-mcp/multi-deliver.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 | $0.00033 | $0.00740 |
| Opus 5 | $0.00016 | $0.00370 |
| Sonnet 5 | $0.00007 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
multi-deliver 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/multi-deliver — Batch Render Multiple Formats
Queue multiple render jobs from the same timeline and render them all. One command for all your deliverables.
Arguments
The user lists the formats they need, separated by commas, +, or and.
Preset Definitions
Use these presets (same as /deliver skill):
| Preset | Format | Codec | Resolution |
|---|---|---|---|
youtube |
MP4 | H.264 | 1920x1080 |
youtube 4k |
MP4 | H.265 | 3840x2160 |
instagram |
MP4 | H.264 | 1080x1080 |
instagram reel / reel / tiktok |
MP4 | H.264 | 1080x1920 |
h265 4k / 4k |
MP4 | H.265 | 3840x2160 |
h265 1080 / 1080 |
MP4 | H.265 | 1920x1080 |
h264 1080 |
MP4 | H.264 | 1920x1080 |
prores |
QuickTime | ProRes 422 | Timeline res |
prores hq |
QuickTime | ProRes 422 HQ | Timeline res |
prores proxy |
QuickTime | ProRes 422 Proxy | Timeline res |
dnxhd |
MXF | DNxHD | Timeline res |
broadcast |
MXF | DNxHR | 1920x1080 |
Workflow
- Parse the user's requested formats into a list of presets
- For each preset:
a. Use
resolve_set_render_format_and_codecto set format and codec b. Useresolve_set_render_settingsto set resolution and other settings c. Append aCustomNamesuffix to differentiate outputs (e.g.,TimelineName_youtube,TimelineName_instagram) d. If the user specified an output directory, setTargetDire. Useresolve_add_render_jobto queue the job - After all jobs are queued, use
resolve_start_renderto begin (renders all queued jobs) - Poll with
resolve_get_render_statusandresolve_list_render_jobsuntil all jobs complete - Report final status for each deliverable: format, resolution, file path, success/failure
Example Interactions
User: /multi-deliver youtube + instagram reel + prores hq
→ Queues 3 render jobs (H.264 1080p, H.264 1080x1920, ProRes HQ), renders all, reports results.
User: /multi-deliver youtube, 4k, prores to /Volumes/Exports/
→ Queues 3 jobs to specified directory.
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 · 60 lines · 33 tokens per session scan A d233d92e9935
multi-deliver is a skill published in the GitHub repository jenkinsm13/resolve-mcp (6 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 740 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 2026-08-31.
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