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 oyi77/1ai-skills --skill coregit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/core)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/core"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/core/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/oyi77/1ai-skills/core"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 138 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
- medium Data Exfiltration · line 139 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
- medium Data Exfiltration · line 140 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
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 | $0.00046 | $0.05194 |
| Opus 5.5 | $0.00018 | $0.02078 |
| Sonnet 5.5 | $0.00009 | $0.01039 |
| Haiku 4.5 | $0.00005 | $0.00519 |
Grade A, and why
core scanned grade A with 1 finding 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 1mo 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
query = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill is the knowledge base hub: PARA-structured company memory combining the company-kb and kb skills for persistent context and project documentation. Use it for cross-session recall and organizational memory. It defines how knowledge is captured, filed, and retrieved.
Core Knowledge Base Hub — Company Memory & Recall
Process
Maintain the knowledge base as a live PARA-structured memory that every session reads on start.
- Initialize structure — create the project/area/resource/archive areas if the KB is new.
- Capture context — record current session context, decisions, today's focus, open tasks, and follow-ups in the documented files.
- File deliberately — place each note in the area that makes it findable by the query path, not wherever it was written.
- Query on session start — load context at the beginning of each session so decisions persist across sessions.
- Maintain — update existing notes in place (replace, not duplicate) and archive completed work.
When Not to Use
- Simple or one-off tasks — if the task is straightforward, direct execution is faster than structured methodology.
- Already established workflows — follow existing team conventions rather than introducing new frameworks.
- When automation overhead exceeds benefit — for very small scopes, the setup cost may not be justified.
Dependencies
- Python 3.8+ or Node.js 18+
- Access to relevant APIs/services for your specific use case
- Basic understanding of the domain concepts
Commands
# Refer to the skill's usage section for specific commands
# Adapt these to your workflow
Money-Making Overview
A well-structured knowledge base is the single highest-leverage investment for an autonomous agent ecosystem. Every hour spent organizing knowledge saves 10 hours of re-discovery and context-switching. Direct revenue impact:
| Capability | ROI Impact | Timeline |
|---|---|---|
| Session-start context loading | Eliminates 10-15 min of re-orientation per session | Day 1 |
| Company knowledge recall | Instant access to strategies, playbooks, finance data | Day 1 |
| PARA-structured memory | Find any document in < 30 seconds vs 10+ minutes | Day 2 |
| Entity-relationship graph | Cross-reference decisions, clients, projects instantly | Week 1 |
| Multi-agent shared memory | All agents operate from the same truth source | Week 1 |
| Auto-decay and archival | Memory stays lean — no information rot | Ongoing |
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.
- 1mo ago Changed · +21 lines 63e10c4d4686
- 1mo ago First seen · 601 lines · 46 tokens per session scan A 748d3b8ade60
core is a skill published in the GitHub repository oyi77/1ai-skills (16 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 5,194 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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