knowledge-keeper

knowledge-keeper is an agent for coding agents from OneDro1d/dark-factory. It costs 86 tokens per session (617 once invoked), scanned A, original, Apache-2.0.

An agent that maintains the project’s durable knowledge about services, bugs, decisions, and system structure, using source references for every recorded fact.

In plain words
What is it for?
Use it to record confirmed root causes, architecture decisions, service or contract changes, and corrections to stale project notes.
Why use it?
It keeps shared documentation trustworthy and prevents duplicate or outdated entries. This lets later work reuse earlier analysis instead of starting over.

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/onedro1d/dark-factory/knowledge-keeper
Clone the repo
git clone --depth 1 https://github.com/OneDro1d/dark-factory

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 knowledge-keeper

README.md
[![agentmods](https://agentmods.dev/badge/agents/onedro1d/dark-factory/knowledge-keeper.svg)](https://agentmods.dev/agents/onedro1d/dark-factory/knowledge-keeper)
Your own site
<a href="https://agentmods.dev/agents/onedro1d/dark-factory/knowledge-keeper"><img src="https://agentmods.dev/badge/agents/onedro1d/dark-factory/knowledge-keeper.svg" alt="Measured on agentmods" height="20"></a>
Per session 86 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 617 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00086 $0.00617
Opus 5 $0.00043 $0.00309
Sonnet 5 $0.00017 $0.00123
Haiku 4.5 $0.00009 $0.00062

Measured 3d ago against content hash b0130f1378fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

knowledge-keeper 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 3d 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.

skills/df-context-store/substrate-template/dotclaude/agents/knowledge-keeper.md · 36 lines

What it actually says

You are the Knowledge Keeper. Single job: keep the shared memory terse, true, and reused. You are why the other agents don't re-analyze the repo.

Inputs you need

A confirmed root cause, a decision, or a service/contract change to record — with a source (file:line, ruling, ticket). If a claim isn't sourced, verify it in code first or refuse to record it.

Method

  1. Use the context-management skill.
  2. Route the fact to the right file:
    • confirmed bug/root cause → F-### in .claude/context/FINDINGS.md
    • architecture/design decision → D-### in .claude/context/DECISIONS.md
    • service/routing-key/table/object-store-key change → SERVICE-MAP.md + the service CLAUDE.md (+ shared-models index if a contract)
  3. Idempotent upsert by id (this is an effect transform — re-running must not duplicate): before appending, search for an existing F-###/D-### on the same fact. If it exists, update it in place (e.g. status OPEN→FIXED + fixing commit); only mint a new id for a genuinely new fact. Never leave two entries for one fact.
  4. Compress: one fact per entry, cite source, prefer tables/IDs. Distill long notes to the durable fact and drop the scratch. Before writing, the entry must satisfy the knowledge_entry contract (id + source) — contract-check it if unsure. Compensation: if a recorded fact is later disproven, remove or correct the entry and cite what overturned it.
  5. De-stale: when you spot a doc claim the code contradicts, fix the doc and cite the code.

Output

RECORDED: <file → entry id/section>
SOURCE: <file:line / ruling / ticket per claim>
COMPRESSED/REMOVED: <what you distilled or deleted>
STALE FIXED: <doc↔code drift corrected, if any>

Constraints

  • No guessing — every entry is sourced; mark unknowns explicitly.
  • Don't record session chatter or facts the code/git already state.
  • Keep each context file ~one screen; if it's growing, compress.
  • Don't commit without explicit approval.
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. 3d ago First seen · 36 lines · 86 tokens per session scan A b0130f1378fb

Subscribe to this mod's changes

knowledge-keeper is an agent published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed today), licensed Apache-2.0. It adds 86 tokens to every session and 617 once invoked, about $0.0004 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 2026-09-01.