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/memyselfandm/cconami/executing-work-itemsnpx skills add memyselfandm/cconami --skill executing-work-itemsgit clone --depth 1 https://github.com/memyselfandm/cconamiWhat 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 | $0.00049 | $0.00808 |
| Opus 5 | $0.00024 | $0.00404 |
| Sonnet 5 | $0.00010 | $0.00162 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
executing-work-items 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 146 lines · 49 tokens per session scan A f5e22732c282
executing-work-items is a skill published in the GitHub repository memyselfandm/cconami (8 stars, last pushed 6mo ago), with no licence file. It adds 49 tokens to every session and 808 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.
Other skills, from other repositories
ai-meeting
Run structured AI meetings for plans, product ideas, technical designs, business decisions, feature proposals, and strategy choices. Use when the user wants an AI meeting, AI roundtable, multi-agent discussion, debate, proposal review, plan review, decision review, or wants Codex, Claude Code, and other CLI agents to…
fastapi-app
Bootstrap a new FastAPI backend with async SQLAlchemy 2.0, asyncpg, Alembic, Pydantic v2, and no deprecated APIs. Use when the user wants to start, scaffold, or set up a new FastAPI service, a Python REST API, an async backend, or asks to "create a new fastapi app" or "new python backend". Handles JWT auth, layered…
flutter-app
Bootstrap a new Flutter mobile app with clean architecture, Riverpod, FVM-pinned SDK, current packages, and no deprecated APIs. Use when the user wants to start, scaffold, or set up a new Flutter app, a cross-platform mobile app, an Android or iOS app in Dart, or asks to "create a new flutter app". Handles BYOK LLM…
nextjs-app
Bootstrap a new Next.js (App Router, TypeScript) web app with current packages and no deprecated APIs. Use when the user wants to start, scaffold, or set up a new Next.js project, a React web app, a SaaS or dashboard or landing page on Next.js, or asks to "create a new nextjs app". Handles private, open-source, and…
ai-divination-skills
Use this skill when the user asks for a tarot reading, I Ching (Yijing) hexagram cast, or Chinese Xiao Liu Ren (小六壬) divination. Calls audited local Python tools that produce deterministic JSON output; the model never invents the result, it only interprets the JSON.
insider-radar
Scan SEC Form 4 insider trades and 13F ownership moves for a ticker or a watchlist using the AlphaAI MCP. Use when the user asks about "insider buying", "insider selling", "Form 4 activity", "who's buying ", "institutional ownership changes", or wants an insider-activity sweep.