worklog

A work-tracking method that uses GitHub issues, comments, and small commits to record each piece of development work.

In plain words
What is it for?
It helps manage projects through a main issue and separate issues for bugs, features, experiments, refactors, and documentation changes.
Why use it?
It prevents decisions, test results, unfinished follow-up, and the history of changes from being scattered or forgotten.

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/tokenbender/agent-guides/worklog
Any agent
npx skills add tokenbender/agent-guides --skill worklog
Clone the repo
git clone --depth 1 https://github.com/tokenbender/agent-guides

Made for: Claude Code, Codex.

Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,334 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 $0.00105 $0.01334
Opus 5 $0.00053 $0.00667
Sonnet 5 $0.00021 $0.00267
Haiku 4.5 $0.00011 $0.00133

Measured 2d ago against content hash 5e6134c1b675, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

worklog 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.

claude-skills/worklog/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Worklog

Use GitHub issues as the durable source of truth for a body of work. Keep a master issue for the overall effort, a separate child issue for each bug, feature, experiment, or change, atomic commits for each logical unit, and issue comments as the running engineering ledger.

Core Contract

  • Treat the master issue as the project ledger: scope, child issue index, current status, unresolved decisions, and final rollup.
  • Treat child issues as executable work units: one bug, feature, experiment, refactor, docs change, or operational change per issue.
  • Keep commits atomic and issue-scoped. Prefer one coherent commit per child issue or per independently reviewable step inside that issue.
  • Record important observations, commands, failures, design decisions, implementation notes, artifacts, verification, and residual risk as comments on the child issue.
  • Close a child issue only after posting a detailed closeout comment with what changed, evidence, tests, commit refs, and remaining follow-up.
  • Update the master issue when child issues are opened, materially change direction, resolve, or create follow-up work.
  • Do not leave hanging work implicit. If any compatibility shim, migration, cleanup, temporary fallback, unresolved verification, operational risk, or "duct tape" remains, create or link a follow-up issue before saying the work is done.

Before Touching GitHub

Verify the actual repo and target issue surface:

git remote -v
gh repo view --json nameWithOwner,url
gh issue list --state all --limit 50

If the repo target is ambiguous, private/public boundaries are unclear, or the action would post to someone else's upstream repo, ask for confirmation before creating, commenting, closing, or editing issues. If a user fork exists and the user did not ask to post upstream, prefer the user's repo/fork.

Starting A Worklog

  1. Inspect existing issues before creating new ones.
  2. Reuse an existing master issue if it clearly owns the effort.
  3. Create a new master issue when no durable parent exists.
  4. For every distinct work item, create or identify a child issue and link it from the master issue.
  5. If the task already has code changes in progress, inspect git status and diffs before deciding issue boundaries.

Read the full file on GitHub · 147 lines

Files

What ships with it

1 file 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.

  1. 2d ago First seen · 147 lines · 105 tokens per session scan A 5e6134c1b675

Subscribe to this mod's changes

worklog is a skill published in the GitHub repository tokenbender/agent-guides (368 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 105 tokens to every session and 1,334 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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