A worklog tool for saving and retrieving records of coding sessions, source-reading sessions, debugging sessions, and mixed development work.

Use it to draft session summaries, preserve decisions and progress, and reuse experiences in later work on the project.

It gathers session events, file history, task records, Git information, and conversation context so a worklog reflects what actually happened.

worklog — Skill for Claude Code by littlecabbage/worklog-skill

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.

Any agent

npx skills add littlecabbage/worklog-skill --skill worklog

Clone the repo

git clone --depth 1 https://github.com/littlecabbage/worklog-skill

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/littlecabbage/worklog-skill/worklog/github.svg)](https://agentmods.dev/skills/littlecabbage/worklog-skill/worklog)

Your own site

<a href="https://agentmods.dev/skills/littlecabbage/worklog-skill/worklog"><img src="https://agentmods.dev/badge/skills/littlecabbage/worklog-skill/worklog/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/littlecabbage/worklog-skill/worklog"><img src="https://agentmods.dev/badge/skills/littlecabbage/worklog-skill/worklog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,385 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00081	$0.02385
Opus 5.5	$0.00032	$0.00954
Sonnet 5.5	$0.00016	$0.00477
Haiku 4.5	$0.00008	$0.00238

Measured 1mo ago against content hash e3881f7c4cd1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

worklog scanned grade C with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/capture_hook.py, scripts/deprecate_experience.py, scripts/finish_worklog.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

- Sensitive paths are redacted at capture time (`.env*`, `*secret*`, `*credential*`, `*token*`, `*.pem`, `*.key`, `id_rsa*`, anything under `.ssh/` or `.aws/`, `.netrc`).

worklog/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Worklog

Default workflow: context-first, draft-first

Infer the mode from current context before asking the user to fill fields.
Cross-reference active capture sources first (when enabled). Before drafting from memory, check these five sources in order and use them as the timeline backbone:
- .worklog/draft/<current_session_id>/events.jsonl — structured events captured by the hook layer (user prompts, tool calls, stops). Trust this over recall when they disagree.
- ~/.claude/file-history/<current_session_id>/ — pre/post snapshots of files Claude edited; still apply redaction since these may contain .env or secrets if such files were edited.
- ~/.claude/todos/<current_session_id>-agent-*.json — task progress recorded during the session.
- git status / git diff --stat / git log <session-start>..HEAD — repo-side evidence.
- The current conversation context — for goals, decisions, and rationale that did not leave a file trail. When sources disagree, prefer events and git evidence over recall. When ambiguity remains, ask the user one targeted question rather than guessing.
Draft a save-ready worklog from the cross-referenced evidence above plus the conversation, workspace, git state, changed files, commands run, errors, decisions, and verification results that are visible to you.
Show one compact confirmation containing:
- inferred mode, mode_confidence, and 2-5 evidence bullets
- generated title, status, tags, and duration if available
- 3-6 session summary bullets (these become the summary and the body's leading sections)
- 0-2 experience candidates marked as pending
Ask only one question by default: "Save this draft, edit mode/title/tags, or discard it?"
Write the session log to <project-root>/.worklog/YYYY-MM-DD/<task-slug>.md only after confirmation. Do not invoke finish_worklog.py before the user confirms — confirmation is a workflow obligation, not a stored flag. mode_confidence / mode_evidence are shown in the UI but not persisted.
After a successful save, archive the capture draft by moving .worklog/draft/<current_session_id>/ to .worklog/draft/.archived/<current_session_id>/.
Update INDEX.md in newest-first order.
Promote reusable findings into EXPERIENCES.md and index.json only when the user explicitly confirms the experience candidates.
Search index.json with jq before reading older markdown in full.

Read the full file on GitHub · 119 lines

Files

What ships with it

21 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.

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.

1mo ago First seen · 119 lines · 81 tokens per session scan C e3881f7c4cd1

Subscribe to this mod's changes

worklog is a skill published in the GitHub repository littlecabbage/worklog-skill (12 stars, last pushed 5mo ago), licensed MIT. It adds 81 tokens to every session and 2,385 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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worklog