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 company-kbgit 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/company-kb)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/company-kb"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/company-kb/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/company-kb"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/company-kb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 44 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00022 | $0.04197 |
| Opus 5 | $0.00011 | $0.02099 |
| Sonnet 5 | $0.00004 | $0.00839 |
| Haiku 4.5 | $0.00002 | $0.00420 |
Grade A, and why
company-kb 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run([ How it starts
The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company KB — Quick Reference
Role: The Company Knowledge Base (company-kb) stores organization-specific memory — products, services, team members, clients, procedures, and operational history. While the parent kb skill manages the PARA structure and general knowledge retrieval, company-kb specializes in entity tracking, company-wide procedures, agent accountability records, and cross-referencing decisions to organizational context. Both agents and humans use this to maintain a single source of truth.
When to Use
- An org fact must survive sessions: product inventory, client accounts, team roster, vendor contracts
- A decision needs recorded context and alternatives so the "why" is recoverable later
- A recurring task needs a step-by-step procedure others can follow
- Agent sessions must be accountable: what ran, what it did, what facts it added
- A query spans entities ("which clients run the affected product?") — traverse the
linksgraph - Critical entity changes should be recallable cross-session via the 1ai-hub brain
Overview
The Python helpers need PyYAML — install with pip install pyyaml.
company-kb is the organization-wide memory layer: structured YAML entities for products, clients, team, decisions, operations, vendors, procedures, and projects, linked into a navigable entity graph via the links field. Agents register entities, record decisions with rationale and alternatives, log session accountability, and cross-reference decisions to organizational context. It complements the parent kb skill (PARA structure, general retrieval) and pushes critical changes to the 1ai-hub brain for cross-session recall.
Organization Structure
Maintain a consistent directory layout so every agent and human can navigate without guessing:
~/kb/company/
├── products/ # Products and services (one dir per product)
│ └── agent-platform/entity.yaml
├── clients/ # Client accounts, contacts, contracts
├── team/ # Team members, roles, skills
├── decisions/ # ADRs and policy decisions with rationale
├── operations/ # Session logs, runbooks, monitoring configs
├── vendors/ # Third-party tools, services, contracts
├── procedures/ # Step-by-step SOPs for recurring tasks
├── projects/ # Active and completed project records
└── index.yaml # Cross-entity references and tag index
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 Changed · +36 lines 0c45286cde74
- 9d ago First seen · 378 lines · 22 tokens per session scan A 55d4a6a208a6
company-kb is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 4,197 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
persistent-notes
Save notes locally to /mnt/workspace/notes.json file. Use when user wants to "save a note" or "remember something".
github-ops
GitHub CLI for issues, PRs, code search, CI logs, releases, and API queries. Requires gh CLI and auth.
knowledge-curation
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
notion-sync
Read, create, and update Notion pages and databases. Requires Notion API integration token.
knowledge-session-state-and-context
A codebase guide for storing agent sessions, rebuilding their visible state, recovering active work, branching or rewinding history, and shortening context sent to the model.
capability-evolver
Self-evolution workflow for the agent. Before substantive work, recall past outcomes from evolution memory; while editing, detect improvement signals; at task end, record the outcome; when reusable, distill or search the EvoMap network for proven genes/capsules. Use when the user starts non-trivial work (a feature, a…