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/zahardev/aicontext/draft-issuenpx skills add zahardev/aicontext --skill draft-issuegit clone --depth 1 https://github.com/zahardev/aicontextWhat 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 | $0.00019 | $0.00041 |
| Opus 5 | $0.00010 | $0.00020 |
| Sonnet 5 | $0.00004 | $0.00008 |
| Haiku 4.5 | $0.00002 | $0.00004 |
Grade A, and why
draft-issue 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
Read and follow .aicontext/prompts/draft-issue.md
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 · 7 lines · 19 tokens per session scan A c8190f10a488
draft-issue is a skill published in the GitHub repository zahardev/aicontext (2 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 41 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 skills, from other repositories
source-command-audit-whitepapers
Audit version freshness, FR/EN parity, and metadata quality of all whitepapers and recap cards.
self-assessment
Interactive skill assessment with personalized learning path generation.
source-command-methodology-advisor
Analyzes your codebase and asks 3 targeted questions to recommend the right AI-assisted development methodology stack.
session-retrospective
Analyzes the current implementation run — evaluates schema effectiveness, delegation alignment, note quality, and plan-to-execution fit. Captures cross-session trends and proposes improvements when patterns repeat. Use after implementation runs, or when user says 'retrospective', 'session review', 'what did we learn'…
bzdesignprompt
为前端或网页设计任务选择并下载合适的 DESIGN.md 模板。当用户需要网页设计模板、UI 风格参考、设计系统、落地页或前端界面设计时，浏览长亭百智云 UI 设计模板库，根据产品场景和视觉偏好匹配模板，并将完整 DESIGN.md 保存到项目中。.
vc-predict
5 expert personas debate proposed changes before implementation. Catches architectural, security, performance, and UX issues early. Use before major features or risky changes.