rgit-digest

A tool for importing past Git history into searchable memory records. Git is the version-control system used to track changes to code, and the digest process breaks that history into meaningful sections.

In plain words
What is it for?
Use it after scanning a repository to stage, segment, and ingest pending history units, or to clear imported records.
Why use it?
It makes older project decisions and changes easier to find while allowing the import to continue in resumable batches.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/stepzerolab/research-git/rgit-digest
Any agent
npx skills add StepzeroLab/research-git --skill rgit-digest
Clone the repo
git clone --depth 1 https://github.com/StepzeroLab/research-git

Made for: Claude Code, Codex.

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 969 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00076 $0.00969
Opus 5 $0.00038 $0.00485
Sonnet 5 $0.00015 $0.00194
Haiku 4.5 $0.00008 $0.00097

Measured 2d ago against content hash 0c61223b66e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rgit-digest 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 2d 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.

src/rgit/_plugin/skills/rgit-digest/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

rgit-digest

Drains the history-digestion queue: deterministic staging through the rgit CLI, semantic segmentation via the capsule-segmenter subagent, non-interactive ingestion as origin=backfill capsules. Unlike live capture there is NO human approval gate — backfilled capsules are marked, filterable in recall, and bulk-removable (rgit digest clear).

Prerequisites: the repo is rgit init-ed and rgit digest scan has run (init usually does this; run it yourself if rgit digest status shows no units).

Locating the agent definitions. Same as rgit-capture: on Claude Code the plugin runtime resolves agent paths; on other CLIs resolve the plugin root from the skill symlink:

SKILL_REAL=$(realpath ~/.agents/skills/rgit-digest 2>/dev/null || readlink -f ~/.agents/skills/rgit-digest)
PLUGIN_ROOT=$(dirname "$(dirname "$SKILL_REAL")")

Process

1. Report the plan and agree on scope

Run rgit digest status --json. Tell the user: pending units, how many are dead experiments, estimated batches. Agree how many batches to run this session (default: keep going until the queue is empty or the user stops you).

2. Stage a batch

rgit digest next --batch 10 --json

Each item is {unit_id, kind, score, proposal_id, meta, diff, candidates, oversized}. meta carries commit subjects, dates, author — and for dead units the revert info (reverted_by / revert_subject / revert_date) when the death was a revert. Empty-diff units never appear (the engine skips them itself).

3. Dispatch capsule-segmenter per item (concurrently)

For each item, dispatch a subagent from agents/capsule-segmenter.md, passing proposal_id, repo_root, diff, and a history_context block built from meta: the commit subjects + dates + author, the revert info when present, oversized when true, and the note "historical diff — today's code may have refactored past it; write the resurrection guide against intent and structure". The subagent returns {"capsules": [...], "dropped": [...]}.

Read the full file on GitHub · 64 lines

Changes

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.

  1. 2d ago First seen · 64 lines · 76 tokens per session scan A 0c61223b66e6

Subscribe to this mod's changes

rgit-digest is a skill published in the GitHub repository StepzeroLab/research-git (42 stars, last pushed 26d ago), licensed MIT. It adds 76 tokens to every session and 969 once invoked, about $0.0004 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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