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.
git clone --depth 1 https://github.com/mizukaizen/hive-doctrine-mcpWrote 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/commands/mizukaizen/hive-doctrine-mcp/timesheet)<a href="https://agentmods.dev/commands/mizukaizen/hive-doctrine-mcp/timesheet"><img src="https://agentmods.dev/badge/commands/mizukaizen/hive-doctrine-mcp/timesheet/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.
<a href="https://agentmods.dev/commands/mizukaizen/hive-doctrine-mcp/timesheet"><img src="https://agentmods.dev/badge/commands/mizukaizen/hive-doctrine-mcp/timesheet.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00504 |
| Opus 5 | $0.00000 | $0.00252 |
| Sonnet 5 | $0.00000 | $0.00101 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
timesheet 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 12d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/timesheet
Generate a timesheet summary from git commits and file modification history.
Usage
/timesheet [--period "YYYY-WNN"|"YYYY-MM"|"YYYY-MM-DD to YYYY-MM-DD"] [--format summary|detailed]
Behaviour
1. Gather Activity Data
- Run
git logfor the specified period with timestamps and file changes. - Scan file modification times in the project directory.
- Cross-reference with any existing timesheet entries in
timesheets/.
2. Categorise Work
Map each commit and file change to a category:
| Category | Indicators |
|---|---|
| Research | Files in data/, web research notes, source documents |
| Analysis | Files in analysis/, spreadsheets, data processing scripts |
| Writing | Files in deliverables/, report drafts, memos |
| Review | Commits with "review", "revise", "feedback" in messages |
| Meetings | Meeting notes, agenda files |
| Admin | Config files, project setup, housekeeping |
3. Estimate Hours
- Estimate work time based on gaps between commits and file modifications.
- Round to nearest 15-minute increment.
- Cap any single session at 4 hours unless evidence suggests continuous work.
- Flag estimates with low confidence (large gaps between activity, ambiguous categorisation).
4. Generate Summary
Summary format:
# Timesheet: [Period]
## Summary
| Category | Hours | % of Total |
|----------|-------|-----------|
| Research | X.XX | XX% |
| Analysis | X.XX | XX% |
| Writing | X.XX | XX% |
| Review | X.XX | XX% |
| Admin | X.XX | XX% |
| **Total** | **X.XX** | **100%** |
## By Deliverable
| Deliverable | Hours |
|------------|-------|
| [Name] | X.XX |
## Notes
- [Any estimation caveats]
Detailed format: Adds a day-by-day breakdown with individual entries.
5. Save
Write the timesheet to timesheets/[period].md.
Notes
- These are estimates based on available signals. Always review before submitting to a client.
- The tool cannot capture work done outside the project directory (calls, whiteboard sessions, etc.). Add those manually.
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.
- 12d ago First seen · 74 lines · 0 tokens per session scan A 18ce76cb5363
timesheet is a command published in the GitHub repository mizukaizen/hive-doctrine-mcp (0 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 504 tokens. 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 commands, from other repositories
save
Save current session. Writes a session log with what was done, decisions made, and what's pending. Optional: commit & push.
acos-checkpoint
Create checkpoints before risky operations. Rollback if things go wrong.
release-flow
Portable gated release flow — deterministic gate + vendor-agnostic independent reviewer, runnable from any harness.
mega-approve
Approve the mega-plan and start feature execution. Creates worktrees and generates PRDs for each feature. Usage: /plan-cascade:mega-approve [--flow ] [--tdd ] [--confirm] [--no-confirm] [--spec ] [--first-principles] [--max-questions N] [--auto-prd] [--agent ] [--prd-agent ] [--impl-agent ].
worktree
Start a new task in an isolated Git worktree for parallel multi-task development. Creates a task branch, worktree directory with planning files, and leaves the main directory untouched. Usage: /plan-cascade:worktree [task-name] [target-branch]. Example: /plan-cascade:worktree feature-login main.
release
Prepare a release (step 1 of 2) — version bump and PR. Cutting the tag is a separate operator-only step.