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/wpank/ai/event-storenpx skills add wpank/ai --skill event-storegit clone --depth 1 https://github.com/wpank/aiWhat 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 | $0.00035 | $0.03546 |
| Opus 5 | $0.00017 | $0.01773 |
| Sonnet 5 | $0.00007 | $0.00709 |
| Haiku 4.5 | $0.00003 | $0.00355 |
Grade A, and why
event-store 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 3d 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 ships with it
1 file 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.
- 3d ago First seen · 446 lines · 35 tokens per session scan A e95cc8a25310
event-store is a skill published in the GitHub repository wpank/ai (11 stars, last pushed 6mo ago), with no licence file. It adds 35 tokens to every session and 3,546 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 2026-08-30.
Other skills, from other repositories
link-ticket-to-session
Link the current Claude Code session to a ticket (Linear, Jira, GitHub Issues, or GitHub Pull Requests) and cache its title/status in karma. Use when the user explicitly asks to link, attach, associate, or connect this session to a ticket, issue, or PR — e.g. "/link-ticket-to-session ABC-123", "link this session to…
advanced-alchemy
Auto-activate for advancedalchemy imports, alembic/, SQLAlchemyAsyncRepositoryService, SQLAlchemyAsyncConfig, repositorytype, serviceclass, filters, or storage. Not for raw SQLAlchemy without Advanced Alchemy — use SQLAlchemy guidance.
sqlspec
Auto-activate for sqlspec, SQLSpec, SQLFileLoader, drivers, query builders, named SQL, filters, pagination, Arrow, framework extensions, ADK stores, data dictionary, or observers. Not for ORM repositories -- use advanced-alchemy.
pytest-databases
Auto-activate for pytestdatabases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server, CockroachDB/YugabyteDB, MongoDB, Redis/Valkey, Elasticsearch, BigQuery/Spanner, Azurite, MinIO, or RustFS tests. Not for mocked databases.
litestar-data-services
Auto-activate for SQLAlchemyAsyncRepositoryService, SQLSpecAsyncService, createfilterdependencies, LimitOffsetFilter, OffsetPagination, filters, or CRUD services. Not for raw drivers.
bigquery-ai-ml
Skill for BigQuery AI and Machine Learning queries using standard SQL and AI. functions (preferred over dedicated tools).