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 jxoesneon/Ciel --skill context-and-memory-opsgit clone --depth 1 https://github.com/jxoesneon/CielWrote 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/jxoesneon/ciel/context-and-memory-ops)<a href="https://agentmods.dev/skills/jxoesneon/ciel/context-and-memory-ops"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/context-and-memory-ops/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/jxoesneon/ciel/context-and-memory-ops"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/context-and-memory-ops.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 | $0.00023 | $0.00494 |
| Opus 5 | $0.00012 | $0.00247 |
| Sonnet 5 | $0.00005 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
context-and-memory-ops 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 5d 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
CIEL ADAPTATION: Context & Memory (Persistence)
This skill formalizes the management of project-specific knowledge and stylistic identity. it prioritizes high-fidelity recall and guided onboarding.
Context Keeper (ck)
- Session State: Use
/ck:saveat the end of every high-value session. - Briefing: Use
/ck:resumeat start to load goals, decisions, and blockers. - Consistency: Ensure
context.jsonis the single source of truth for project state.
Brand Voice Modeling
- Extraction: Gather 5-20 original samples (X posts, memos, code comments).
- Priorities: Mechanisms and receipts beat adjectives. Direct, concrete, and compressed.
- Hard Bans: Delete "fake curiosity," "excited to share," and LinkedIn-style "thought leader" cadence.
Code Tours (.tour)
- Persona Target: Write for specific readers (
new-joiner,security-reviewer,architect). - Anchors: Use real file paths and line numbers. Prefer pattern-based anchors for volatile files.
- SMIG Format: Description must answer: Situation, Mechanism, Implication, and Gotcha.
Anti-Patterns
- Amnesiac Start: Starting a new session without resuming the previous context.
- Hallucinated Anchors: Committing a
.tourfile with guessed line numbers. - Vibe Modeling: Deriving a voice from 2 samples instead of a representative set.
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.
- 5d ago First seen · 50 lines · 23 tokens per session scan A 47dfe8b4d1eb
context-and-memory-ops is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 494 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
build-personal-brain
Create, resume, validate, connect, or maintain a private cross-project memory for AI assistants. Use when a person asks to build a personal memory from local work folders and past assistant conversations, continue an interrupted memory audit, connect an existing memory to another local assistant, verify that the…
squad-bootstrap
Skill de inicialização da squad. Faz a varredura do projeto e popula a memória técnica e de negócios em memories/. ATENÇÃO - SÓ DEVE ser executada se houver solicitação explícita do usuário ("instalar a squad", "fazer setup inicial", "bootstrap do projeto") ou logo após o instalador (install.sh) ter configurado a…
compound
Persistência de aprendizados nas memórias vivas ao final de cada ciclo. Use para "atualizar memória", "guardar aprendizados" ou "sincronizar contexto do projeto". Executada pelo Tech Lead após o PO definir Status entregue.
macrodata-onboarding
Guide new users through macrodata setup. Creates identity, human profile, and workspace files. Use when getcontext returns isFirstRun true, or user asks to set up their profile.
macrodata-distill
Extract distilled actions and facts from today's conversations. Spawns sub-agents per conversation to avoid context blowup.
macrodata-memory-maintenance
End of day memory maintenance. Runs distillation, updates state files, prunes stale info. Runs in background with no user interaction.