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.
npx agentmods add skills/abuango/pos-ai/work-loggingnpx skills add abuango/pos-ai --skill work-logginggit clone --depth 1 https://github.com/abuango/pos-aiWrote 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/abuango/pos-ai/work-logging)<a href="https://agentmods.dev/skills/abuango/pos-ai/work-logging"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/work-logging.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00043 | $0.00851 |
| Opus 5 | $0.00022 | $0.00426 |
| Sonnet 5 | $0.00009 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
work-logging 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 4d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work Logging Skill
Setup
Before starting: check .handoff/sessions/ for active sessions, read context status.yaml, run git status. Follow .rules/universal.md (Plan -> Approve -> Execute).
You are creating a work log for the POS. Work logs provide audit trails and help TPMs track progress.
When to Create Work Logs
- After completing a task from the implementation plan
- When making significant progress on a task
- When encountering blockers that need escalation
- When requesting clarification on requirements
Log File Location
Save logs to: {teams_dir}/{team}/projects/{project}/logs/{YYYY-MM-DD}-{task-id}.md
Example: logs/2024-01-15-task-1.2.md
Work Log Template
# Work Log: {TASK_ID}
**Project:** {project-name}
**Task:** {task-description}
**Engineer:** eng-{specialty}
**Date:** {YYYY-MM-DD}
**Status:** COMPLETED | IN_PROGRESS | BLOCKED
---
## Task Summary
{Brief description of what was assigned from the plan}
## Work Performed
### Changes Made
- {File 1}: {What was changed and why}
- {File 2}: {What was changed and why}
### Implementation Details
{Describe the approach taken and key decisions}
### Commands Executed
```bash
# Any significant commands run
{command 1}
{command 2}
Testing
Tests Added
- {Test 1}: {What it tests}
- {Test 2}: {What it tests}
Test Results
{Test output or summary}
Files Modified
| File | Action | Description |
|---|---|---|
| {path/to/file} | Created/Modified/Deleted | {Brief description} |
Issues Encountered
Resolved
- Issue: {Description} Resolution: {How it was fixed}
Unresolved / Blockers
- Issue: {Description} Impact: {How this blocks progress} Needs: {What is needed to resolve}
Dependencies
- {Dependency 1}: {Status}
- {Dependency 2}: {Status}
Next Steps
{If task is IN_PROGRESS, what remains to be done}
Time Tracking
- Started: {HH:MM}
- Completed: {HH:MM}
- Total: {X hours}
Sign-off
Engineer: eng-{specialty} Ready for Review: Yes/No Notes for TPM: {Any additional context}
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.
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.
- 4d ago First seen · 138 lines · 43 tokens per session scan A 268224d44cd8
work-logging is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 851 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
wayfinder
Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
sap-transport-overview
System-wide inventory of open transport requests — every visible modifiable request, who owns it, how big it is, and supported risk signals such as empty/local requests, explicit locks, and confirmed manifest overlaps. Headers-only and cheap; NO source diffs. Use when asked "what transports are open in the system"…
timeline-creator
Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.
pm-all
Skill "pm-all" from wei63w/pm-manager, covering user input, outline and shared workflow (all /pm- commands).
bootstrap-prd
Set up PRD-driven development infrastructure for a new project, including directory structure, templates, and roadmap.
finn-spec
Interview the user about a raw idea until confident, then file a build-ready issue in Linear. Use when asked to run Finn-loop's spec interview, draft a queue-ready issue, or plan a feature. Interactive — requires the user present; never run unattended.