Agent skill

Session Ingest

by dnotitia in dnotitia/akb

Ingest a coding session JSONL into AKB as structured notes — session report + parallel-drafted TIL / task / idea / decision sub-notes.

Custom licenceAuto-check passedKnowledge Management

Install Session Ingest

skills CLI
$ npx skills add dnotitia/akb --skill session-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dnotitia/akb session-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dnotitia/akb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/codex/akb-sessions/skills/session-ingest .claude/skills/session-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
session-ingest
GitHub stars
162
Token cost
~8.1k tokens
SKILL.md length
3,411 words
Files
3 (incl. references)
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

Ingest a coding session JSONL into AKB as structured notes — session report + parallel-drafted TIL / task / idea / decision sub-notes.

  • Works in 5 steps: Resolve & Maybe Delegate → Prepare → Draft Session Note → …
  • Tasks that involve MCP servers
  • SKILL.md covers Prerequisites, Execution Flow, Phase 0 — Resolve & Maybe… and Phase 1 — Prepare, plus 6 more sections
  • Calls git, claude and codex

What it does

Session Ingest is an agent skill from dnotitia/akb. Ingest a coding session JSONL into AKB as structured notes — session report + parallel-drafted TIL / task / idea / decision sub-notes. Auto-discovers the current session's JSONL when no positional path is given (Claude / Codex). --delegate {target} fires the work to another target's CLI and exits.

Its SKILL.md is about 8.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/note-templates.md` and `references/session-template.md`).

It sits in Knowledge Management, covering MCP servers. It works with Model Context Protocol, pgvector, PostgreSQL and FastAPI. The repository describes itself as: AKB — Agent Knowledgebase. Organizational memory for AI agents: vault-scoped docs / tables / files unified by URI graph, served over MCP.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/session-ingest”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Resolve & Maybe Delegate
  2. Prepare
  3. Draft Session Note
  4. Parallel Sub-Drafting & Validation
  5. Write to AKB

What it can do on your machine

Read from SKILL.md and the folder at commit 2db5c76. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • claude
    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Session Ingest loads about 8.1k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 3,411 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~8.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 3,411 words (~8,119 tokens).

“Multi-agent workflow that analyzes a session JSONL file and writes structured notes to an AKB vault.”

— opening of SKILL.md by dnotitia, Custom licence
name
session-ingest

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in plugins/codex/akb-sessions/skills/session-ingest of dnotitia/akb.

  • SKILL.md
  • references/note-templates.md
  • references/session-template.md

Open the folder on GitHubat commit 2db5c76

Compare with similar skills

Session Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Session Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Session Ingest this skilldnotitia/akb162—~8.1kAutomated safety check: PassCustom licence
Ogham Maintainogham-mcp/ogham-mcp115—~1.1kAutomated safety check: PassMIT
Ogham Recallogham-mcp/ogham-mcp115—~1kAutomated safety check: PassMIT
NubaseOtterMind/Nubase623—~2.2kAutomated safety check: NotesApache-2.0
Ogham Researchogham-mcp/ogham-mcp115—~1.4kAutomated safety check: PassMIT
Retinuejklthinking/retinue112—~279Automated safety check: PassMIT

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Questions about Session Ingest

What does Session Ingest do?

Ingest a coding session JSONL into AKB as structured notes — session report + parallel-drafted TIL / task / idea / decision sub-notes. Session Ingest is an agent skill from dnotitia/akb. Ingest a coding session JSONL into AKB as structured notes — session report + parallel-drafted TIL / task / idea / decision sub-notes.

When should I use Session Ingest?

Session Ingest fits situations like: tasks that involve MCP servers.

How do I install Session Ingest in Claude Code?

Run `npx skills add dnotitia/akb --skill session-ingest -a claude-code`. Or copy the skill folder (plugins/codex/akb-sessions/skills/session-ingest in dnotitia/akb) into .claude/skills/session-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Session Ingest in Codex?

Run `npx skills add dnotitia/akb --skill session-ingest -a codex`. Or copy the skill folder (plugins/codex/akb-sessions/skills/session-ingest in dnotitia/akb) into .agents/skills/session-ingest in your project. Codex loads it when a task matches its description.

Can I use Session Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dnotitia/akb --skill session-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/session-ingest, .gemini/skills/session-ingest, .github/skills/session-ingest and .opencode/skills/session-ingest in your project.

What does Session Ingest need to run?

Going by SKILL.md and its folder, Session Ingest needs the command-line tools its instructions call (git, claude and codex).

Does Session Ingest access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Session Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Session Ingest use?

Session Ingest has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Session Ingest use?

About 8.1k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.9k tokens, read only when the agent opens those files.

What are the alternatives to Session Ingest?

Skills that share tags, products or a category with Session Ingest: Ogham Maintain (ogham-mcp/ogham-mcp, 115 stars), Ogham Recall (ogham-mcp/ogham-mcp, 115 stars), Nubase (OtterMind/Nubase, 623 stars) and Ogham Research (ogham-mcp/ogham-mcp, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Session Ingest?

dnotitia (a GitHub organization) maintains it in dnotitia/akb, which has 162 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 7, 2026.

Source: dnotitia/akb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.