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 softspark/ai-toolkit --skill subagent-developmentgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/subagent-development)<a href="https://agentmods.dev/skills/softspark/ai-toolkit/subagent-development"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/subagent-development/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/softspark/ai-toolkit/subagent-development"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/subagent-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01921 |
| Opus 5.5 | $0.00016 | $0.00768 |
| Sonnet 5.5 | $0.00008 | $0.00384 |
| Haiku 4.5 | $0.00004 | $0.00192 |
Grade A, and why
subagent-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 13d 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Subagent Development
$ARGUMENTS
Execute implementation plans by dispatching fresh subagents per task, then running a two-stage review gate: spec compliance first, code quality second. Fresh context per subagent prevents accumulated confusion. Two-stage review catches different failure modes: spec review catches wrong behavior, quality review catches bad structure.
Usage
/subagent-development [plan file or task description]
Why This Works
| Property | Benefit |
|---|---|
| Fresh subagent per task | No accumulated context drift or confusion |
| Spec review first | Catches wrong behavior before quality review wastes time on wrong code |
| Quality review second | Catches structural issues after behavior is confirmed correct |
| Sequential tasks | No merge conflicts, each task builds on verified previous work |
Process Flow
Read plan
|
v
Extract ordered task list
|
v
For each task:
|
+---> [1] Dispatch IMPLEMENTER subagent
| |
| v
| Handle status (see Status Protocol)
| |
| v
+---> [2] Dispatch SPEC REVIEWER subagent
| |
| v
| APPROVED? --no--> fix issues, re-review
| |
| yes
| |
| v
+---> [3] Dispatch QUALITY REVIEWER subagent
| |
| v
| Critical issues? --yes--> fix, re-review
| |
| no
| v
| Mark task complete
|
v
Next task (or done)
Step 1 -- Read and Parse Plan
Read the plan file. Extract:
- Ordered task list -- each task with description, acceptance criteria, file scope
- Global constraints -- what must NOT change, architecture rules, shared conventions
- Dependencies -- which tasks depend on which (execute in dependency order)
Present the task list to the user. Wait for approval before proceeding.
Step 2 -- Execute Tasks Sequentially
Only in Claude Code, apply the model-routing-patterns skill when choosing
executors or creating agent definitions. Delegate to codex:codex-rescue only
when its plugin is installed, enabled and callable in this session. Otherwise
use the installed native agents and their configured models. A context without
the Agent tool returns the dispatch decision to its supervisor; it does not
invent a tool or bypass the client. Preserve explicit user choices and verify
actual completion before accepting a delegated result.
What ships with it
3 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.
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.
- 13d ago Changed · +10 lines 9fc8d194339e
- 22d ago Changed · -3 lines 0efaefdfd704
- 1mo ago First seen · 226 lines · 41 tokens per session scan A 4736c33e3b42
subagent-development is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed yesterday), licensed Apache-2.0. It adds 41 tokens to every session and 1,921 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
cline-fix-volatile-msg
Ladder-aware Cline Anthropic caching — verify the rolling read/write ladder on the wire, then add the tools breakpoint and tune TTL. Updated for the 2026-08 AI-SDK monorepo.
continue-gemini-explicit
Continue's Gemini provider doesn't use the cachedContents API at all. Add explicit caching for sessions over the minimum token threshold.
roo-fix-volatile-msg
Ladder-aware Roo Code Anthropic caching — verify the rolling read/write ladder on the wire, then close the real gaps (Vertex 4-block budget, MiniMax path).
aider-1h-ttl
Aider uses 5min TTL by default and works around long pauses with keepalive pings. Wire up the 1h TTL beta instead.
cline-openai-cache-key
Cline OpenAI native provider sends no promptcachekey. Add a stable per-task key so cachedtokens stops being zero.
continue-enable-defaults
Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.