df-context-store

df-context-store is a skill for Claude Code from OneDro1d/dark-factory. It costs 114 tokens per session (1,313 once invoked), scanned A, original, Apache-2.0.

A setup process for placing a reusable agent workspace inside a code repository. The workspace contains project maps, shared decisions, specialist agents, hand-off rules, and checks before commits.

In plain words
What is it for?
Use it when preparing a repository for repeated agent-assisted development or refreshing its project context. It builds the maps from the actual codebase, including services, databases, queues, APIs, and data flows.
Why use it?
It prevents every coding session from re-discovering the same architecture and project rules. It also makes hand-offs between agents checkable and keeps unverified work from being committed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Good fit Use it when preparing a repository for repeated agent-assisted development or refreshing its project context. It builds the maps from the actual codebase, including services, databases, queues, APIs, and data flows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/onedro1d/dark-factory/df-context-store
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 OneDro1d/dark-factory --skill df-context-store
Clone the repo
git clone --depth 1 https://github.com/OneDro1d/dark-factory

Made for: Claude Code.

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 df-context-store

README.md
[![agentmods](https://agentmods.dev/badge/skills/onedro1d/dark-factory/df-context-store/github.svg)](https://agentmods.dev/skills/onedro1d/dark-factory/df-context-store)
Your own site
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/df-context-store"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/df-context-store/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 df-context-store

Your own site · 80×15
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/df-context-store"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/df-context-store.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,313 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 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 5.1 $0.00114 $0.01313
Opus 5 $0.00057 $0.00656
Sonnet 5 $0.00023 $0.00263
Haiku 4.5 $0.00011 $0.00131

Measured 8d ago against content hash 8f02bde802a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

df-context-store 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 8d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (substrate-template/dotclaude/hooks/ensure-gate.sh, substrate-template/dotclaude/skills/contract-check/check_contract_test.py, substrate-template/dotclaude/skills/contract-check/check_contract.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.

skills/df-context-store/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

df-context-store — plant the inner-loop substrate (DF Stage 0.5)

Goal: give the repo a persistent, in-repo, read-first agent substrate so analysis is done once and reused, hand-offs can't silently degrade, and nothing ships unverified. This is the inner-loop complement to the heavy DF build stages — the build injects rigor at the seams; this is what lives in the repo and binds every future session. It runs between Stage 0 (Frame) and Stage 1 (PO), and again on demand to refresh.

Template (source of truth): the substrate-template/ directory bundled alongside this skill (skills/df-context-store/substrate-template/).

Procedure

  1. Emit the payload. Copy substrate-template/dotclaude/ into the target repo as .claude/ (agents + context store + hooks/ + contract-check + commit-sync
    • AGENT-CONTRACTS.md). Don't overwrite an existing populated store — merge.
  2. Populate from source, don't invent.
    • .claude/context/SERVICE-MAP.md — the structural map (services/db/queue/API + flows), generated from the real codebase (use service-mapper).
    • .claude/context/DATA-FLOW.md — the data-transform view: data nodes (schema/origin/authority/class), the transform graph (pure|effect), and the validation rules (LOCAL reject / GLOBAL reconcile). Populate nodes + authority from source; leave rules you can't yet cite as marked skeletons.
    • Leave FINDINGS.md/DECISIONS.md as clean skeletons that accumulate as the repo is worked. Fill per-service <service>/CLAUDE.md stubs only where verified (file:line).
  3. Wire the always-on carrier. Merge substrate-template/CLAUDE-stanza.md into the repo's root CLAUDE.md (read-first/dispatch/verify rules) — this is what binds every session, not the one-time scaffold.
  4. Arm the lockstep gate + make it self-arming (the every-commit half). The gate can't drift code from the context store silently:
    • chmod +x .claude/hooks/pre-commit .claude/hooks/ensure-gate.sh
    • Self-arm carrier: merge the SessionStart hook from substrate-template/dotclaude/settings.json into the repo's .claude/settings.json (create it if absent; if it exists, add the SessionStart entry — do not clobber existing hooks). This runs ensure-gate.sh on every session so a fresh clone activates the gate with no manual step. (core.hooksPath is local git config and never travels in a commit — the SessionStart hook is what carries the every-clone half.)
    • Arm it now (non-destructive): if the repo has no existing core.hooksPath and no husky, run git config core.hooksPath .claude/hooks (or just run bash .claude/hooks/ensure-gate.sh, which does exactly this safely). If one already exists, do not overwrite it — install the gate as .claude/hooks/pre-commit.local under the existing path (it chains). Say which path you took.
  5. Verify (acceptance). Run bash substrate-template/verify-substrate.sh (from this skill dir) against the template, and for an emitted repo confirm: required files present, no leftover template placeholders in SERVICE-MAP/DATA-FLOW (they're populated), the contract-check suite is green, the gate is executable + actually blocks an undocumented structural change, and the CLAUDE.md stanza is merged. Green is the bar; report the literal check counts.

Read the full file on GitHub · 77 lines

Files

What ships with it

32 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. 8d ago First seen · 77 lines · 114 tokens per session scan A 8f02bde802a3

Subscribe to this mod's changes

df-context-store is a skill published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed today), licensed Apache-2.0. It adds 114 tokens to every session and 1,313 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 2026-09-01.

Related

Other skills, from other repositories

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens