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.
npx skills add kadiresen/context-bank --skill initgit clone --depth 1 https://github.com/kadiresen/context-bankWrote 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/kadiresen/context-bank/init)<a href="https://agentmods.dev/skills/kadiresen/context-bank/init"><img src="https://agentmods.dev/badge/skills/kadiresen/context-bank/init/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/kadiresen/context-bank/init"><img src="https://agentmods.dev/badge/skills/kadiresen/context-bank/init.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 | $0.00031 | $0.00229 |
| Opus 5.5 | $0.00012 | $0.00092 |
| Sonnet 5.5 | $0.00006 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
init scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
- If
memory-bank/exists (Cline Memory Bank), do not run init; suggestnpx -y [email protected] migrate, which converts it into.ai/. If.ai/already exists, do not run init. Suggest/context-bank:doctorinstead, andnpx -y [email protected] migrateif it is an old v1 or v2 bank. - Otherwise run
npx -y [email protected] init --yesfrom the project root ($CLAUDE_PROJECT_DIR). - Offer to fill
.ai/rules.mdwith the stack and conventions you can read from the repo (package manifest, lint and test config). Keep it short; ask before adding conventions you are guessing. - Do not commit; the user reviews the new files.
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.
- yesterday Changed 1e9a7af263f9
- 2d ago Changed 26416f368a83
- 14d ago First seen · 11 lines · 31 tokens per session scan A 5367a5b4895e
init is a skill published in the GitHub repository kadiresen/context-bank (9 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 229 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 2026-09-27.
Other skills, from other repositories
context
CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable carry-packets that transfer cognitive state between AI sessions. Use…
faf-context
Use FAF project context tools on this server — init, score, sync, discover; claim equals wire.
memseek-remember
Persist a user-confirmed fact, preference, constraint, or decision in Memseek project memory.
atomicmemory
Persistent semantic memory across Claude Code sessions — user preferences, project context, prior decisions, codebase facts. Call memorysearch before answering questions that reference past work. Call memoryingest after the user shares durable facts.
memseek-explain
Audit why Memseek recalled a claim by opening its evidence and replaying the original session when needed.
atomicmemory-cli
Use the installed AtomicMemory CLI for memory search, ingestion, packaging, diagnostics, and agent-safe JSON output.