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/drizzy07x/skillquiver/subagent-driven-developmentnpx skills add Drizzy07x/Skillquiver --skill subagent-driven-developmentgit clone --depth 1 https://github.com/Drizzy07x/SkillquiverWhat 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 | $0.00044 | $0.01593 |
| Opus 5 | $0.00022 | $0.00796 |
| Sonnet 5 | $0.00009 | $0.00319 |
| Haiku 4.5 | $0.00004 | $0.00159 |
Grade A, and why
subagent-driven-development 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 yesterday.
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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subagent-Driven Development
Execute a plan with one fresh implementer per task, a task-scoped review after each implementation, and one whole-branch review at the end.
This workflow requires isolated worker dispatch. If the host cannot dispatch subagents, use executing-plans instead.
Core principle: Fresh implementer + spec and quality review + scoped fixes + final review.
Narration: Between tool calls, use at most one short line. The ledger and tool results carry the durable record.
Continuous execution: Run every task without asking whether to continue. Stop only for an unresolved blocker, ambiguity that prevents safe progress, or completed work.
When to Use
Use this workflow when all are true:
- A decision-complete implementation plan exists.
- Tasks are independent enough for one implementer at a time.
- Work stays in the current session.
- The host supports isolated workers.
Use executing-plans for a parallel session. Return to planning when tasks are tightly coupled or the plan is incomplete.
Setup
-
Verify an isolated workspace with
using-git-worktrees. Work onmainormasteronly with explicit user consent. -
Invoke this skill's scripts through Bash on every platform because packaging may not preserve executable bits. On Windows, use Git Bash.
-
Resolve the plan workspace:
bash <skill-dir>/scripts/sdd-workspace PLAN_FILEThe command prints
<repo-root>/.skillquiver/sdd/<plan-basename>-<path-hash>/. This git-ignored directory owns every artifact for this plan: ledger, briefs, reports, and review packages. Never reuse another plan's directory. -
Inspect
<workspace>/progress.md:- If its first line names this plan, treat every
Task <N>: completeline as authoritative and resume at the first incomplete task. - If a task ends with a fix-round entry, resume at the next round.
- If the ledger names another plan, or exists at the obsolete
.superpowers/sdd/progress.md, leave it intact and create this plan's ledger.
- If its first line names this plan, treat every
-
Create a missing ledger with
# SDD ledger — plan: <plan file path>as its first line. -
Read the plan once, record its context and Global Constraints, and create one todo per task.
-
Before Task 1, scan the complete plan for contradictions between tasks, Global Constraints, and the review rubric. Present all conflicts in one batched question beside the binding plan text. Proceed immediately when the scan is clean.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 222 B
- implementer-prompt.md 5.7 KB
- re-review-prompt.md 4.4 KB
- references/dispatch-and-model-selection.md 2.0 KB
- references/review-and-fix-loop.md 6.0 KB
- references/workflow-example.md 2.3 KB
- scripts/review-package 1.4 KB
- scripts/sdd-workspace 1.9 KB
- scripts/task-brief 1.1 KB
- task-reviewer-prompt.md 7.8 KB
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.
- yesterday First seen · 130 lines · 44 tokens per session scan A ec9fccf0b8a1
subagent-driven-development is a skill published in the GitHub repository Drizzy07x/Skillquiver (2 stars, last pushed 10d ago), licensed MIT. It adds 44 tokens to every session and 1,593 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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