Borrowing it
Nothing to install: this file belongs to satanyakiv/NutriSport. 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/satanyakiv/NutriSport/main/.claude/skills/orchestrate-features/SKILL.mdgit clone --depth 1 https://github.com/satanyakiv/NutriSportWrote 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/satanyakiv/nutrisport/orchestrate-features)<a href="https://agentmods.dev/skills/satanyakiv/nutrisport/orchestrate-features"><img src="https://agentmods.dev/badge/skills/satanyakiv/nutrisport/orchestrate-features/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/satanyakiv/nutrisport/orchestrate-features"><img src="https://agentmods.dev/badge/skills/satanyakiv/nutrisport/orchestrate-features.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 | $0.00066 | $0.00651 |
| Opus 5 | $0.00033 | $0.00326 |
| Sonnet 5 | $0.00013 | $0.00130 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
orchestrate-features 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
orchestrate-features
Orchestrate feature implementation using parallel worktree agents.
Usage
/orchestrate-features all — run all groups (A, B, C, D, then E)
/orchestrate-features group:A — run Group A features (01, 03, 10)
/orchestrate-features group:B — run Group B features (04→06→05→07)
/orchestrate-features 01,03 — run specific features by number
/orchestrate-features status — show status of all features
Prompt
You are orchestrating NutriSport feature implementation. Read the orchestrator and feature files first:
- Read
.claude/features/00-orchestrator.mdfor parallel groups, merge order, and conflict matrix - Read
.claude/rules/plan-mode.mdfor status conventions - Read the specific feature file(s) from
.claude/features/
For all:
Launch agents for Groups A, B, C, D in parallel (each in a worktree). Wait for all to complete. Then launch Group E (tests).
For group:X:
Launch agent(s) for the specified group:
- Group A: Launch 3 parallel agents (01, 03, 10 — no conflicts)
- Group B: Launch 1 agent doing 04→06→05→07 sequentially
- Group C: Launch 1 agent doing 09→08 sequentially
- Group D: Launch 1 agent doing 11→12 sequentially
- Group E: Launch 1 agent doing 02 (tests for everything)
For specific numbers (e.g., 01,03):
Check conflict matrix. If no conflicts, launch in parallel worktrees. If conflicts exist, run sequentially.
For status:
Read all feature files and report their Status field in a table.
Agent pattern:
Agent(
subagent_type="general-purpose",
isolation="worktree",
prompt="Implement feature NN. Read .claude/features/NN-name.md for full spec. Follow .claude/rules/ for conventions. Update feature file status to IN_PROGRESS at start and IMPLEMENTED when done."
)
After completion:
- Update feature file status to
IMPLEMENTED - Report results: files created/modified, tests passing, build status
- If merge needed, provide merge commands (do NOT auto-merge without user confirmation)
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 · 63 lines · 66 tokens per session scan A e5fae8b5316a
orchestrate-features is a skill published in the GitHub repository satanyakiv/NutriSport (11 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 651 once invoked, about $0.0003 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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