ingest-commit

A recorder that saves one Git commit—the saved change made in a Git repository—as an unchangeable document in an AKB knowledge base. It stores commit details and a faithful explanation of what the code change did.

In plain words
What is it for?
Use it to document important commits, investigations, releases, or project decisions tied to code changes.
Why use it?
It preserves the history and meaning of a code change in a form that can be searched with other notes. The record cannot be changed after it is created.

Agent

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.

agentmods
npx agentmods add agents/dnotitia/akb/ingest-commit
Clone the repo
git clone --depth 1 https://github.com/dnotitia/akb
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,700 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00037 $0.02700
Opus 5 $0.00018 $0.01350
Sonnet 5 $0.00007 $0.00540
Haiku 4.5 $0.00004 $0.00270

Measured yesterday against content hash 7da00bd337d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ingest-commit 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 yesterday.

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.

plugins/claude/akb-wiki/agents/ingest-commit.md · 191 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

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. yesterday First seen · 191 lines · 37 tokens per session scan A 7da00bd337d8

Subscribe to this mod's changes

ingest-commit is an agent published in the GitHub repository dnotitia/akb (155 stars, last pushed 3d ago), with no licence file. It adds 37 tokens to every session and 2,700 once invoked, about $0.0002 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.

Related

Other agents, from other repositories

columnist

Authors L2-2 full hub expansion + L2-2 timeline narrative + all L2-3·L2-4 content (cluster overview·theme contradiction·synthesis·trail·root overview·root contradiction). Deep cross-source sequential reading + synthesis. Performs the GROUND·APPLY·ADAPT cycle stages together. No direct external WebSearch.

alfadur7/llm-wiki-newsroom · 76 tokens

reporter

Owner of L2-1 source · L2-2 stub authoring and broad external exploration. raw input (.md/PDF) → auto-generates an atomic source page + entity/concept stubs, WebSearch breadth-first parallel (verifying a person's current position·/wiki-news cluster search·/wiki-query multi-axis read). For the cycle stages, performs…

alfadur7/llm-wiki-newsroom · 103 tokens

conversation-flow-map

这份文档用于维护 Chat/Coding 从用户发送消息到模型内容返回 UI 的主链路。它不是重构方案,而是后续学习、诊断和小步优化时的共同地图。.

CCDawn/Vibelution · 0 tokens

worktree-collaboration

This document defines the default collaboration protocol for multiple Agents working on Vibelution in parallel.

CCDawn/Vibelution · 0 tokens

apple-silicon-tuning

本文档汇总 parsepdftomarkdown 在 Apple M 系列芯片上的所有调优点: 设备探测 → 各引擎 MPS 策略 → 批处理 / 并行 / 量化。所有调优均循证: 来自 Docling、MinerU、Marker、PyTorch MPS 官方文档与 benchmark。.

ThreeFish-AI/negentropy · 0 tokens

pdf-engine-selection

本文档可视化 parsepdftomarkdown Pipeline 在 Adaptive Engine Selection (PR #163, PR2)下,各 Stage 的运行时引擎路由策略。决策结果会写入 StageResult.metadata.selectordecision,便于审计与调优。.

ThreeFish-AI/negentropy · 0 tokens