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/valkor-ai/loom/loom-deploynpx skills add valkor-ai/loom --skill loom-deploygit clone --depth 1 https://github.com/valkor-ai/loomWrote 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/valkor-ai/loom/loom-deploy)<a href="https://agentmods.dev/skills/valkor-ai/loom/loom-deploy"><img src="https://agentmods.dev/badge/skills/valkor-ai/loom/loom-deploy.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 | $0.00037 | $0.00437 |
| Opus 5 | $0.00018 | $0.00218 |
| Sonnet 5 | $0.00007 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
loom-deploy 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 6d 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
loom-deploy
Deployment is controlled by Loom MCP deploy tools. Use the matching loom.deploy* tool and follow its structured action result. For user_gate with preResponseContract, execute the contract before any visible response: call loom.inspectRequest, then call loom.readFieldGroup for only required requestReadPlan.groups, and present the returned deployment decision.
During active_operation, call only the observation tools named by the result, obey observationPolicy, obey forbiddenActions, and do not report completion while finalResponsePolicy forbids it. During asset repair, edit only the returned generated deployment assets or the returned modelRepairRef, then call the returned retryTool; never edit generated source-model/topology/facts snapshots directly. Do not retry asset repair through loom.deployRun. During deploy execution repair, edit only the returned application/runtime files and submit through the returned repair submit tool.
Do not infer stack topology, generated file paths, preview URLs, ports, or repair scope outside the current MCP result.
Reference Loading
The current MCP deploy result remains the authority. Load no reference by default; load deploy references only when the MCP result supplies an exact reference load plan.
Protocol:
- After a deploy MCP result, look for
next.deployReferenceProfile.referenceLoadPlanordetails.deployReferenceProfile.referenceLoadPlan. - Each
referenceLoadPlanentry containsrefId,path, andreason. Resolvepathrelative to this skill'sreferences/directory. - Read only the listed paths. Do not infer extra files from
refId, stack names, failure text, or thereferences/directory. - Use references as implementation guidance for generated or repaired deployment files; do not paste reference prose into deployment artifacts, repair results, or final chat output.
- If the current deploy action has no
deployReferenceProfile, leave deploy references unread.
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.
- 6d ago First seen · 24 lines · 37 tokens per session scan A d96355547f46
loom-deploy is a skill published in the GitHub repository valkor-ai/loom (960 stars, last pushed 19d ago), licensed Apache-2.0. It adds 37 tokens to every session and 437 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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