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/riekelt/technical-writer/documenting-legacy-codebasesnpx skills add riekelt/technical-writer --skill documenting-legacy-codebasesgit clone --depth 1 https://github.com/riekelt/technical-writerWrote 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/riekelt/technical-writer/documenting-legacy-codebases)<a href="https://agentmods.dev/skills/riekelt/technical-writer/documenting-legacy-codebases"><img src="https://agentmods.dev/badge/skills/riekelt/technical-writer/documenting-legacy-codebases.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 | $0.00130 | $0.03371 |
| Opus 5 | $0.00065 | $0.01685 |
| Sonnet 5 | $0.00026 | $0.00674 |
| Haiku 4.5 | $0.00013 | $0.00337 |
Grade A, and why
documenting-legacy-codebases 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 4d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documenting legacy codebases
REQUIRED BACKGROUND: the technical-writing skill (hard rules, kind classification, truth rules, style).
Overview
A legacy codebase has one reliable witness: the code at HEAD. Everything else that speaks about it (names, comments, old documents, diagrams, the memory of whoever is left) is testimony. Core principle: describe how the system works and what to look out for, verified against the code; the code stays the authority on how it is implemented. The deliverable is a docs tree the next engineer trusts and the next refactor leaves untouched: only changed behavior or a new feature sends anyone back to edit it.
When to invoke, and not
Invoke when documenting a system that exists and is under-documented: an inherited or acquired codebase, a system whose authors left, a docs tree that no longer matches the code. A "what does this actually do" investigation that must end in documents also qualifies. Do NOT invoke for documenting a change you are making; the core skill and the document-type skills cover documentation-with-change. Not for arguing a rewrite, which is writing-design-docs, fed by these documents. And not for fixing what the grounding finds: the code fix sits outside this plugin; noting the oddity does not (see quirks and defects).
Survey before prose
Do not start writing at the first interesting file. First enumerate the system's surfaces, because the inventory decides both the shape of the docs tree and the definition of done:
- Entry points and processes: executables, services, scheduled jobs, queue consumers, request handlers.
- Commands and endpoints: everything an operator or client can invoke.
- Configuration: every key, flag, and environment variable the code reads.
- Data: schemas, tables, migrations, files on disk, external stores.
- Integrations: every external system touched, with direction and protocol.
- Build and deploy: how the artifact is produced and where it lands.
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.
- 4d ago First seen · 139 lines · 130 tokens per session scan A 5b26d47f90aa
documenting-legacy-codebases is a skill published in the GitHub repository riekelt/technical-writer (15 stars, last pushed 4d ago), licensed MIT. It adds 130 tokens to every session and 3,371 once invoked, about $0.0006 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.
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