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 skills add gongyijie85/dsh-ecc --skill parallel-execution-optimizergit clone --depth 1 https://github.com/gongyijie85/dsh-eccWrote 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/gongyijie85/dsh-ecc/parallel-execution-optimizer)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/parallel-execution-optimizer"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/parallel-execution-optimizer/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/gongyijie85/dsh-ecc/parallel-execution-optimizer"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/parallel-execution-optimizer.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 | $0.00041 | $0.00573 |
| Opus 5 | $0.00020 | $0.00287 |
| Sonnet 5 | $0.00008 | $0.00115 |
| Haiku 4.5 | $0.00004 | $0.00057 |
Grade A, and why
parallel-execution-optimizer 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 5d 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.
This is a copy
100% identical to parallel-execution-optimizer — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parallel Execution Optimizer
Use this skill when speed comes from doing independent work at the same time: repo inspection, file reads, API checks, browser checks, build/test lanes, deploy readbacks, or multi-worktree implementation passes.
Core Pattern
Turn urgency into a dependency graph before acting.
- Define the objective and done signal.
- Split work into lanes.
- Mark each lane as parallel, sequential, or gated.
- Run independent reads/checks together.
- Keep writes isolated by file, worktree, branch, service, or dataset.
- Merge only after evidence shows the lanes are compatible.
- End with a verification table, not a vague speed claim.
Lane Matrix
Before a large push, write a compact matrix:
Lane | Can run in parallel? | Write surface | Risk | Verification
Repo scan | yes | none | low | rg/git status outputs
Backend patch | maybe | src/api | medium | unit tests
Frontend patch | maybe | app/components | medium | browser screenshot
Deploy readback | after build | remote service | high | live URL + logs
Only run lanes in parallel when their write surfaces do not collide.
Execution Rules
- Batch file reads, searches, status checks, and metadata queries.
- Use isolated worktrees for large unrelated implementation lanes.
- Start long-running tests, builds, backfills, and deploys in separate sessions, then poll them deliberately.
- If a lane discovers a blocker that changes the plan, pause dependent lanes and update the matrix.
- Never let a background process outlive the turn unless the user explicitly asked for a continuing service.
- Do not parallelize destructive commands, migrations, writes to the same table, or live customer-impacting deploys without an explicit gate.
Output Shape
Use this when reporting:
Parallel execution result:
- Lanes run: 5
- Lanes completed: 4
- Blocked lane: deploy readback, waiting on DNS propagation
- Fast path found: batched repo scan + focused tests
- Verification: lint pass, unit pass, live smoke pass
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.
- 5d ago First seen · 75 lines · 41 tokens per session scan A b44def0f7c24
parallel-execution-optimizer is a skill published in the GitHub repository gongyijie85/dsh-ecc (6 stars, last pushed 2d ago), licensed MIT. It adds 41 tokens to every session and 573 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to parallel-execution-optimizer, differing in 1 line, and is treated as a copy.
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