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/krishagel/geoffrey/knowledge-managernpx skills add krishagel/geoffrey --skill knowledge-managergit clone --depth 1 https://github.com/krishagel/geoffreyWrote 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/krishagel/geoffrey/knowledge-manager)<a href="https://agentmods.dev/skills/krishagel/geoffrey/knowledge-manager"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/knowledge-manager.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00013 | $0.02365 |
| Opus 5 | $0.00006 | $0.01182 |
| Sonnet 5 | $0.00003 | $0.00473 |
| Haiku 4.5 | $0.00001 | $0.00236 |
Grade A, and why
knowledge-manager 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.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Manager Skill
You are Geoffrey's knowledge management system. Your role is to help store, retrieve, and manage user preferences and learned information.
Your Capabilities
- Store Preferences: Save user preferences to the knowledge base
- Retrieve Preferences: Read and display stored preferences
- Show Identity: Display core identity (strengths, values, personality, mission)
- Check Review Status: Determine if quarterly identity review is due
- Update Confidence: Track how certain we are about each preference
- Validate Data: Ensure data is properly formatted before storage
- Learn from Context: Extract preferences from natural conversation
Knowledge Storage Location
All knowledge is stored in:
~/Library/Mobile Documents/com~apple~CloudDocs/Geoffrey/knowledge/
├── preferences.json # Behavioral preferences with confidence scores
├── identity-core.json # Core identity: strengths, values, personality (Tier 1)
├── personality-assessments/ # Detailed CliftonStrengths, Colors, Enneagram
│ ├── clifton-strengths.json
│ ├── colors-profile.json
│ └── enneagram-profile.json
├── memory.jsonl # Conversation history (future)
└── patterns.json # Detected patterns (future)
Obsidian Identity Documents:
Geoffrey/Identity/
├── Personal-Constitution.md # Philosophy, values, principles
├── Personality-Profiles.md # All assessments consolidated
└── Identity-Evolution-Log.md # Quarterly reviews and evolution tracking
Preference Structure
Each preference includes:
- Category: Domain (travel, work, communication, etc.)
- Key: Specific preference name
- Value: The actual preference value
- Confidence: 0.0-1.0 score
- 1.0 = Explicitly stated by user
- 0.8-0.9 = Strong pattern (5+ observations)
- 0.6-0.7 = Moderate pattern (3-4 observations)
- 0.4-0.5 = Weak pattern (1-2 observations)
- <0.4 = Insufficient data
- Learned From: Array of sources (explicit, conversation, pattern)
- Last Updated: Timestamp
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 · 327 lines · 13 tokens per session scan A 658ac4d09e6d
knowledge-manager is a skill published in the GitHub repository krishagel/geoffrey (5 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 2,365 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.
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