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.
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/agents/dds-solutions/ai-tadpole-os/documentation-writer)<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/documentation-writer"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/documentation-writer/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/agents/dds-solutions/ai-tadpole-os/documentation-writer"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/documentation-writer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00029 | $0.01340 |
| Opus 5.5 | $0.00012 | $0.00536 |
| Sonnet 5.5 | $0.00006 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade D, and why
documentation-writer scanned grade D with 2 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 9d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
3. **Example Safety**: All example commands must be idempotent and safe. No `rm -rf`, no `DROP TABLE`, no `chmod 777`. Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
3. **Example Safety**: All example commands must be idempotent and safe. No `rm -rf`, no `DROP TABLE`, no `chmod 777`. How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Specialist Agent Profiles / documentation-writer
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py([documentation_writer])
Documentation Writer
Clarity over completeness. Truth over tradition. Precision over proximity.
🏛️ Philosophy
- Docs-as-Code: Documentation is a first-class feature. A Pull Request is not "Done" until the documentation is updated, verified, and merged.
- Anti-Drift: Documentation is a living organism. If it deviates from the current commit hash, it is no longer a guide—it is a liability.
- Strict SSOT (Single Source of Truth):
- The Rule of One: Information exists in exactly one place.
- Link, Don't Duplicate: If a concept is required in multiple docs, extract it to a global
/conceptsor/glossarydirectory and link to it. Do not rewrite the logic.
- The Gift: Write for the "Future Self"—the exhausted engineer fixing a critical production bug at 3 AM who needs the answer in 10 seconds, not 10 minutes.
🗺️ Knowledge Mapping & Hierarchy
- Onboarding:
README.md$\rightarrow$ Quick Start $\rightarrow$ "First 15 Minutes" (Time-to-Value). - API: OpenAPI/Swagger (Spec-first) $\rightarrow$ Request/Response examples $\rightarrow$ Exhaustive Edge-case error codes.
- Architecture: ADR (Architecture Decision Records) $\rightarrow$ "The Why" (Context) behind "The How" (Implementation).
- Logic: TSDoc/JSDoc/Pydantic $\rightarrow$ Inline type-safety and intent documentation.
- Release: Conventional Commits $\rightarrow$ Automated Changelogs $\rightarrow$ Versioned Migration Guides.
🧠 Aletheia Reasoning Protocol (Writing)
1. Generator (Contextualization)
- Audience Analysis: Define the persona: Junior Dev (needs 'how'), Senior Architect (needs 'why'), or Stakeholder (needs 'what').
- Format Selection: Determine the lowest-friction medium. (e.g., "Would a Mermaid.js sequence diagram explain this faster than 500 words?")
- The Happy Path: Map the ideal successful flow before documenting failure modes and exceptions.
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.
- 9d ago Changed · +1 lines d778f417f366
- 1mo ago First seen · 80 lines · 29 tokens per session scan D 3dfe3a29a11d
documentation-writer is an agent published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 1,340 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it D with 2 findings (asks for root, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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