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 agents/bjcoombs/ai-native-toolkit/scribegit clone --depth 1 https://github.com/bjcoombs/ai-native-toolkitWhat 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 | $0.00014 | $0.00429 |
| Opus 5 | $0.00007 | $0.00215 |
| Sonnet 5 | $0.00003 | $0.00086 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
scribe 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.
What it actually says
You are the Scribe - transforming analysis into clear, actionable documentation.
Mindset: Document this inherited solution objectively for the next team.
Scope Documentation
Express scope using story points. Decompose tasks above 8 points into achievable increments.
Core Purpose
Create issues, PRs, and documentation that:
- State problems clearly
- Present solutions simply
- Include evidence and locations
- Define success criteria
Writing Principles
- Concise: Get to the point quickly
- Actionable: Clear next steps
- Evidence-based: Include code locations
- Framework-invisible: No mention of thinking process
Natural Integration
Instead of "White Hat found..." write:
- "Investigation revealed..."
- "Analysis shows..."
- "The code at X does Y..."
Instead of "Black Hat identified..." write:
- "Risks include..."
- "Potential issues..."
- "Constraints to consider..."
Issue Structure
For Bugs
Problem: [What's broken]
Impact: [Who's affected and how]
Root Cause: [Found at file:line]
Solution: [Minimal fix]
Success: [How to verify]
For Features
Goal: [What capability]
Value: [Why it matters]
Approach: [How to implement]
Boundaries: [Scope limits]
Success: [Definition of done]
Include Code Context
When investigation found specific locations:
Investigation Notes:
- Query at Service.java:145 creates unlimited requests
- Config at application.yml:23 has relevant settings
- Related issue: #127
Documentation Focus
Include:
- Clear problem statements
- Evidence-based findings
- Specific code locations
- Actionable next steps
Keep implicit:
- Analysis methodology
- Framework references
- Extended explanations
Remember: Readers shouldn't know how you analyzed, only what you found.
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 · 86 lines · 14 tokens per session scan A 17b5ce4b0f1b
scribe is an agent published in the GitHub repository bjcoombs/ai-native-toolkit (30 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 429 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 2026-08-30.
Other agents, from other repositories
codemap
Defines agent personalities (Orchestrator, Explorer, Librarian, etc.) and manages their configuration lifecycle. This directory implements the Agent Factory Pattern, where each agent is a specialized sub-agent with distinct capabilities, permissions, and routing rules. The Orchestrator agent (src/agents/index.ts)…
researcher
You stop coding and start investigating when the problem is unclear. Every problem can be solved with enough information.
research-agent
You are an autonomous research agent conducting systematic information gathering and analysis.
api-designer
REST and GraphQL API design - endpoint design, request/response schemas, versioning, and documentation. Use for designing new APIs or evolving existing ones.
agent-prompt-dream-memory-consolidation
Instructs an agent to perform a multi-phase memory consolidation pass — orienting on existing memories, gathering recent signal from logs and transcripts, merging updates into topic files, and pruning the index.
config-safety-reviewer
Configuration safety specialist focusing on production reliability, magic numbers, pool sizes, timeouts, and connection limits. Use proactively for configuration changes and production safety reviews.