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 commands/ainative-build/skills/improvegit clone --depth 1 https://github.com/ainative-build/skillsWhat 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 | $0.00029 | $0.00340 |
| Opus 5 | $0.00015 | $0.00170 |
| Sonnet 5 | $0.00006 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
improve 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 2d 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.
What it actually says
/aif:improve
Run the aif-improve skill on the target described by $ARGUMENTS.
Read and follow ${CLAUDE_PLUGIN_ROOT}/skills/engineering/aif-improve/SKILL.md in full, then execute
its workflow against $ARGUMENTS:
- Explore — read any optional
CONTEXT.md/docs/adr/, then map the target area (via theaif-reconskill if installed, else inline Glob/Grep + read), noting friction and applying the deletion test using${CLAUDE_PLUGIN_ROOT}/skills/engineering/aif-improve/references/module-depth.md. - Present — evidence-backed candidate cards ranked by recommendation strength, per
${CLAUDE_PLUGIN_ROOT}/skills/engineering/aif-improve/references/opportunity-report.md; emit the--htmlvisual report to the temp dir when asked. Ask the user which candidate to pursue. Do NOT design interfaces yet. - Deepen — only after the user picks one, design the interface with them per
${CLAUDE_PLUGIN_ROOT}/skills/engineering/aif-improve/references/deepening-patterns.md, implement it, and verify through the new interface.
Read-only in steps 1–2; edits code in step 3 only, after the user chooses.
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.
- 2d ago First seen · 25 lines · 29 tokens per session scan A dc5453ef1cf5
improve is a command published in the GitHub repository ainative-build/skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 340 once invoked, about $0.0001 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.
Other commands, from other repositories
constraints
Define and enforce this project's quality bar — interview, sane defaults, CONSTRAINTS.md.
webperf
Run a web performance audit via the web-performance-auditor persona.
plan
Break work into small verifiable tasks with acceptance criteria and dependency ordering.
spec
Start spec-driven development — write a structured specification before writing code.
install
Add skills from GitHub repos, git URLs, or local paths.
audit-rules
Browse, enable, disable, and customize audit rules.