Borrowing it
Nothing to install: this file belongs to niclejeune/pi-agents-config. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/niclejeune/pi-agents-config/main/.pi/agent/skills/context-vault/SKILL.mdgit clone --depth 1 https://github.com/niclejeune/pi-agents-configWrote 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.
[](https://agentmods.dev/skills/niclejeune/pi-agents-config/context-vault)<a href="https://agentmods.dev/skills/niclejeune/pi-agents-config/context-vault"><img src="https://agentmods.dev/badge/skills/niclejeune/pi-agents-config/context-vault/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.
<a href="https://agentmods.dev/skills/niclejeune/pi-agents-config/context-vault"><img src="https://agentmods.dev/badge/skills/niclejeune/pi-agents-config/context-vault.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00398 |
| Opus 5.5 | $0.00014 | $0.00159 |
| Sonnet 5.5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
context-vault 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 1mo 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.
What it actually says
context-vault Skill
Use a context vault for durable memory that should survive beyond one agent session.
Recommended starter: https://github.com/niclejeune/second-brain-starter
Default placeholder path:
~/second-brain
Replace this with your actual vault path in your private config. Do not publish a config that contains private paths, project names, emails, secrets, or client details.
When to use
Use the vault when the task involves:
- persistent memory
- workflow decisions
- self-improvement notes
- project context packs
- architecture decisions
- SOPs / repeatable workflows
- cross-session handoffs
Do not dump noisy logs or full transcripts into compiled wiki pages. Store raw evidence separately and write distilled summaries.
Required first reads
When using a vault, read:
~/second-brain/AGENTS.md
~/second-brain/context-packs/default.md
Adjust paths for your setup.
Suggested vault layout
second-brain/
AGENTS.md
README.md
context-packs/
default.md
wiki/
index.md
log.md
hot-cache.md
decisions/
operations/
projects/
self-improvement/
raw/
tool-logs/
Context hygiene
Persist distilled knowledge, not noisy logs.
Good vault entries:
- decisions and rationale
- stable project facts
- recurring agent mistakes
- setup commands that worked
- validated workflow SOPs
Bad vault entries:
- raw terminal spam in wiki pages
- transient stack traces without summary
- secrets or tokens
- private client data in public templates
- copied session transcripts without curation
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.
- 1mo ago First seen · 84 lines · 35 tokens per session scan A 7a1f4461c911
context-vault is a skill published in the GitHub repository niclejeune/pi-agents-config (1 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 398 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
reflect
Capture reusable session learnings. Use when updating agent instructions, adding lessons learned, preserving project conventions, or fixing repeated mistakes.
digital-brain
This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.
remember
Save the decisions, facts, dead ends and architecture this conversation established to Atlas's shared memory, so other agents and future sessions can build on them.
brain-setup
Bootstrap the Open Project Brain Standard into the current project — prefer brain init (ensure BRAIN.md, scaffold empty brain brainRoot-aware, default-wire CLAUDE.md + AGENTS.md). Optionally install a pre-commit hook and a Claude Code or Codex SessionStart hook.
brain-bootstrap
Seed a freshly-scaffolded brain with real project knowledge — on an existing (brownfield) project read the code, docs, and git log, then draft only the root pages that have meaningful content and capture key historical decisions; on a near-empty (greenfield) project interview the user. Every write goes through the…
brain-ingest
The process for digesting a conversation, document, or research result, classifying it, and writing it down as brain content (a root-page update or a new/updated page) through the brain CLI.