Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/avmnu-sng/sutranpx agentmods add skills/avmnu-sng/sutra/parallel-agent-orchestrationWrote 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/avmnu-sng/sutra/parallel-agent-orchestration)<a href="https://agentmods.dev/skills/avmnu-sng/sutra/parallel-agent-orchestration"><img src="https://agentmods.dev/badge/skills/avmnu-sng/sutra/parallel-agent-orchestration/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/avmnu-sng/sutra/parallel-agent-orchestration"><img src="https://agentmods.dev/badge/skills/avmnu-sng/sutra/parallel-agent-orchestration.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02104 |
| Opus 5 | $0.00018 | $0.01052 |
| Sonnet 5 | $0.00007 | $0.00421 |
| Haiku 4.5 | $0.00004 | $0.00210 |
Grade A, and why
parallel-agent-orchestration 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 9d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel agent orchestration
The rest of sutra's guidance assumes one agent, one session, one working tree -- a single writer. Fan out concurrent agents against shared state and that assumption breaks silently: two agents open the same file, both edit, the second write clobbers the first, and you lose work or produce an un-mergeable tree with no error raised. Concurrency bugs do not announce themselves; you discover them at merge time or in production.
Pick an isolation regime BEFORE you fan out. Retrofitting coordination onto agents that are already running is how state gets corrupted.
The one hard rule
Never let two agents mutate the same file at the same time without either a mutex or separate worktrees. Every recipe below exists to enforce this single invariant. If you cannot name the mechanism that prevents a concurrent double-write, do not fan out yet -- run the work serially instead.
Choose the regime
One question decides everything: do the concurrent agents share a working tree?
- Yes -- they edit files in the same checkout -> Shared-state regime.
- No -- each owns an independent track with its own tree -> Disjoint regime.
When unsure, assume shared-state. It is the stricter of the two, and its machinery is a superset of what the disjoint regime needs.
Shared-state regime
Agents touch the same repository, so coordination is mandatory. Layer the five controls below; each closes a different collision path.
1. Give each agent its own git worktree
A worktree is the executable form of the hard rule. git worktree gives every
agent an isolated checkout -- its own index and working files -- backed by one
shared object store and history. Two agents editing "the same file" now edit
two distinct paths; there is no in-place double-write to lose.
git worktree add ../wt-agent-a agent/track-a # agent A's tree + branch
git worktree add ../wt-agent-b agent/track-b # agent B's tree + branch
Each agent runs entirely inside its own worktree directory and commits to its own branch. An integrator merges the branches afterward, where real conflicts surface as ordinary, visible merge conflicts instead of silent clobbers. This is the default; reach for the finer-grained controls below only when agents must share one tree.
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.
- 9d ago First seen · 201 lines · 37 tokens per session scan A 6d94e55171da
parallel-agent-orchestration is a skill published in the GitHub repository avmnu-sng/sutra (2 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 2,104 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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