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/danmcinerney/orchflows/orch-executenpx skills add DanMcInerney/orchflows --skill orch-executegit clone --depth 1 https://github.com/DanMcInerney/orchflowsWrote 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/danmcinerney/orchflows/orch-execute)<a href="https://agentmods.dev/skills/danmcinerney/orchflows/orch-execute"><img src="https://agentmods.dev/badge/skills/danmcinerney/orchflows/orch-execute.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 | $0.00021 | $0.00182 |
| Opus 5 | $0.00010 | $0.00091 |
| Sonnet 5 | $0.00004 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
orch-execute 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 3d 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
Require: one claimed ticket with a stamped pack digest and its semantic assignment.
Resolve the pack's execute projection through packs.py cells <digest> --for execute. Apply the returned slicing, workspace, required-field, craft,
adapter, stage, and assembly cells to the assignment; choose implementation,
tests, and verification from those cells and repository law. Stream the
executor record as work is produced, then commit the reserved outcome.
Never: substitute a skill name for a pack cell; invent a domain rule outside the resolved pack or shared rules; edit sealed semantics; integrate another candidate; or claim an artifact without the pack's evidence.
Return: the completed ticket with status, result identity, verification, and the pack evidence record.
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.
- 3d ago First seen · 22 lines · 21 tokens per session scan A e89af399356d
orch-execute is a skill published in the GitHub repository DanMcInerney/orchflows (51 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 182 once invoked, about $0.0001 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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