project-knowledge

A guide for managing shared repository knowledge, such as architecture decisions, workflows, terminology, and runbooks.

In plain words
What is it for?
Finding, validating, updating, and organising project knowledge before or after work that depends on the repository’s history or conventions.
Why use it?
It helps agents recall trusted project context, resolve conflicting documentation, and keep temporary task details separate from lasting facts.

Skill for Claude CodeCodex

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 skills/daaaaave/agentic-workspace-core/project-knowledge
Any agent
npx skills add Daaaaave/agentic-workspace-core --skill project-knowledge
Clone the repo
git clone --depth 1 https://github.com/Daaaaave/agentic-workspace-core

Made for: Claude Code, Codex.

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,036 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 $0.00074 $0.03036
Opus 5 $0.00037 $0.01518
Sonnet 5 $0.00015 $0.00607
Haiku 4.5 $0.00007 $0.00304

Measured 2d ago against content hash 48210c45b9b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project-knowledge 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 2d 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.

payload/.agents/skills/project-knowledge/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Knowledge

Goal

Operate repository knowledge as a small, inspectable, reviewable memory system. Recall relevant durable knowledge before it can affect work, update the canonical owner when durable facts change, and keep temporary state out of project memory.

The policy authority for memory behavior is .agents/knowledge-core/memory-policy.md. This skill is the operating procedure for applying that policy.

Use When

  • The user asks to inspect, update, create, clean, validate, or reason about project knowledge, memory, docs, decisions, runbooks, plans, glossary, domain terms, workflows, or project context.
  • Before non-trivial work that may depend on project history: architecture, database, auth, deployment, testing, domain behavior, conventions, migrations, infrastructure, shared APIs, or previous decisions.
  • Before making or changing a decision future agents will need to follow.
  • When docs, code, generated indexes, user statements, or previous decisions conflict.
  • When an error, failed check, or user correction may already have a project-specific explanation.
  • After a non-obvious bug fix, failed approach, user correction, production issue, migration, workflow change, or repeated gotcha that future agents should not rediscover.
  • When deciding whether information belongs in docs/, .agents/skills/, .context/handoffs/, legacy/, or outside the repository.
  • When authored docs changed and generated indexes or validation may be stale.

Do Not Use When

  • The task is a tiny local edit with no dependency on project conventions or durable knowledge.
  • The user asks for external/current research; use research-to-knowledge unless the only task is routing the result into existing docs.
  • The user asks to create or revise a procedural skill; use write-agent-skill.
  • The user asks for temporary transfer state; use write-agent-handoff.
  • The content is private, personal, credential-like, or not meant to be shared with project contributors.
  • A deterministic script fully answers the task; run it instead of narrating around it.

Read the full file on GitHub · 257 lines

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. 2d ago First seen · 257 lines · 74 tokens per session scan A 48210c45b9b3

Subscribe to this mod's changes

project-knowledge is a skill published in the GitHub repository Daaaaave/agentic-workspace-core (6 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 3,036 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 2026-08-31.

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