repo-docs-intelligence-bootstrap

repo-docs-intelligence-bootstrap is a skill for Claude Code, Codex from tteggu87/DocTology. It costs 107 tokens per session (8,452 once invoked), scanned A, original, no licence file.

A skill for building a lightweight, up-to-date memory profile for a code repository. A repository is a project's code and files, and the profile records its current structure and durable working context.

In plain words
What is it for?
Refreshing repository documentation from the codebase, classifying current information, and recording architecture and repository-specific working knowledge.
Why use it?
It reduces the risk of relying on outdated architecture notes or making structural changes that conflict with the live code.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

Good fit Refreshing repository documentation from the codebase, classifying current information, and recording architecture and repository-specific working knowledge.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tteggu87/doctology/repo-docs-intelligence-bootstrap
Install

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.

Any agent
npx skills add tteggu87/DocTology --skill repo-docs-intelligence-bootstrap
Clone the repo
git clone --depth 1 https://github.com/tteggu87/DocTology

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for repo-docs-intelligence-bootstrap

README.md
[![agentmods](https://agentmods.dev/badge/skills/tteggu87/doctology/repo-docs-intelligence-bootstrap/github.svg)](https://agentmods.dev/skills/tteggu87/doctology/repo-docs-intelligence-bootstrap)
Your own site
<a href="https://agentmods.dev/skills/tteggu87/doctology/repo-docs-intelligence-bootstrap"><img src="https://agentmods.dev/badge/skills/tteggu87/doctology/repo-docs-intelligence-bootstrap/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.

agentmods 80×15 button for repo-docs-intelligence-bootstrap

Your own site · 80×15
<a href="https://agentmods.dev/skills/tteggu87/doctology/repo-docs-intelligence-bootstrap"><img src="https://agentmods.dev/badge/skills/tteggu87/doctology/repo-docs-intelligence-bootstrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,452 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00107 $0.08452
Opus 5 $0.00053 $0.04226
Sonnet 5 $0.00021 $0.01690
Haiku 4.5 $0.00011 $0.00845

Measured 10d ago against content hash 5ea222755cfe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

repo-docs-intelligence-bootstrap 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 10d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (evals/files/fixture_repo_cli_vs_wrapper/pkg_app/cli.py, evals/files/fixture_repo_cli_vs_wrapper/scripts/run_wrapper.py, evals/files/fixture_repo_docs_drifted/scripts/dev_server.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/repo-docs-intelligence-bootstrap/SKILL.md · 772 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

60 files 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.

Changes

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.

  1. 10d ago First seen · 772 lines · 107 tokens per session scan A 5ea222755cfe

Subscribe to this mod's changes

repo-docs-intelligence-bootstrap is a skill published in the GitHub repository tteggu87/DocTology (11 stars, last pushed 3d ago), with no licence file. It adds 107 tokens to every session and 8,452 once invoked, about $0.0005 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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