Agentic Context Engine is an open-source engine that gives AI agents a persistent learning loop, helping them remember successful strategies and learn from failures across sessions. It is used to improve production agents, and also powers Kayba’s hosted service. Catalogue add-ons support workflows for operating and configuring the engine.
Borrowing it
Nothing to install: this file belongs to kayba-ai/agentic-context-engine. 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/kayba-ai/agentic-context-engine/main/.claude/skills/kayba-pipeline/SKILL.mdgit clone --depth 1 https://github.com/kayba-ai/agentic-context-engineWrote 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/kayba-ai/agentic-context-engine/kayba-pipeline)<a href="https://agentmods.dev/skills/kayba-ai/agentic-context-engine/kayba-pipeline"><img src="https://agentmods.dev/badge/skills/kayba-ai/agentic-context-engine/kayba-pipeline/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/kayba-ai/agentic-context-engine/kayba-pipeline"><img src="https://agentmods.dev/badge/skills/kayba-ai/agentic-context-engine/kayba-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00091 | $0.01442 |
| Opus 5 | $0.00046 | $0.00721 |
| Sonnet 5 | $0.00018 | $0.00288 |
| Haiku 4.5 | $0.00009 | $0.00144 |
Grade A, and why
kayba-pipeline 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kayba-pipeline
End-to-end pipeline: analyze traces → define metrics → build rubric → plan fixes → implement fixes.
Each stage is a separate skill file that can be run independently or as part of this pipeline.
Inputs
The user provides two things:
TRACES_FOLDER— path to a directory containing trace JSON filesHITL—trueorfalse— whether to pause for human review before implementing fixes
If the user doesn't specify HITL, default to true (safe default).
Pipeline overview
┌─────────────────────────────────────────────────────────────────────┐
│ Stage 1: Kayba API Analysis → skill: kayba-pipeline:stage-1-api-analysis │
│ Stage 2: Domain Context Gathering → skill: kayba-pipeline:stage-2-domain-context │
│ ─── stages 1 & 2 run in parallel ─── │
│ Stage 3: Metrics & Analysis → skill: kayba-pipeline:stage-3-metrics │
│ Stage 4: Rubric Definition → skill: kayba-pipeline:stage-4-rubric │
│ Stage 5: Action Plan → skill: kayba-pipeline:stage-5-action-plan │
│ Stage 6: HITL Gate → skill: kayba-pipeline:stage-6-hitl │
│ Stage 7: Fix Implementation → skill: kayba-pipeline:stage-7-fixer │
└─────────────────────────────────────────────────────────────────────┘
Orchestration instructions
You are the orchestrator. Your job is to:
- Create the
eval/directory andeval/pipeline_log.md - Spawn sub-agents that invoke stage skills via the Skill tool
- Coordinate stage ordering and handle the HITL gate
Setup
Create eval/ directory and initialize eval/pipeline_log.md:
# Pipeline Log
| Stage | Name | Status | Started | Completed | Notes |
|-------|------|--------|---------|-----------|-------|
| 1 | Kayba API Analysis | pending | | | |
| 2 | Domain Context | pending | | | |
| 3 | Metrics & Analysis | pending | | | |
| 4 | Rubric Definition | pending | | | |
| 5 | Action Plan | pending | | | |
| 6 | HITL Gate | pending | | | |
| 7 | Fix Implementation | pending | | | |
What ships with it
7 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.
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.
- 9d ago First seen · 146 lines · 91 tokens per session scan A 1f97e4a66b9e
kayba-pipeline is a skill published in the GitHub repository kayba-ai/agentic-context-engine (2,565 stars, last pushed 11d ago), licensed Apache-2.0. It adds 91 tokens to every session and 1,442 once invoked, about $0.0005 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 2026-08-30.
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