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 commands/kyopark2014/agent-plugins/updategit clone --depth 1 https://github.com/kyopark2014/agent-pluginsWhat 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 | $0.00009 | $0.01160 |
| Opus 5 | $0.00005 | $0.00580 |
| Sonnet 5 | $0.00002 | $0.00232 |
| Haiku 4.5 | $0.00001 | $0.00116 |
Grade A, and why
update 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 yesterday.
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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update Command
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Keep your task list and memory current. Two modes:
- Default: Sync tasks from external tools, triage stale items, check memory for gaps
--comprehensive: Deep scan chat, email, calendar, docs — flag missed todos and suggest new memories
Usage
/productivity:update
/productivity:update --comprehensive
Default Mode
1. Load Current State
Read TASKS.md and memory/ directory. If they don't exist, suggest /productivity:start first.
2. Sync Tasks from External Sources
Check for available task sources:
- Project tracker (e.g. Asana, Linear, Jira) (if MCP available)
- GitHub Issues (if in a repo):
gh issue list --assignee=@me
If no sources are available, skip to Step 3.
Fetch tasks assigned to the user (open/in-progress). Compare against TASKS.md:
| External task | TASKS.md match? | Action |
|---|---|---|
| Found, not in TASKS.md | No match | Offer to add |
| Found, already in TASKS.md | Match by title (fuzzy) | Skip |
| In TASKS.md, not in external | No match | Flag as potentially stale |
| Completed externally | In Active section | Offer to mark done |
Present diff and let user decide what to add/complete.
3. Triage Stale Items
Review Active tasks in TASKS.md and flag:
- Tasks with due dates in the past
- Tasks in Active for 30+ days
- Tasks with no context (no person, no project)
Present each for triage: Mark done? Reschedule? Move to Someday?
4. Decode Tasks for Memory Gaps
For each task, attempt to decode all entities (people, projects, acronyms, tools, links):
Task: "Send PSR to Todd re: Phoenix blockers"
Decode:
- PSR → ✓ Pipeline Status Report (in glossary)
- Todd → ✓ Todd Martinez (in people/)
- Phoenix → ? Not in memory
Track what's fully decoded vs. what has gaps.
5. Fill Gaps
Present unknown terms grouped:
I found terms in your tasks I don't have context for:
1. "Phoenix" (from: "Send PSR to Todd re: Phoenix blockers")
→ What's Phoenix?
2. "Maya" (from: "sync with Maya on API design")
→ Who is Maya?
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.
- yesterday First seen · 168 lines · 9 tokens per session scan A 7d0c2cd50b6c
update is a command published in the GitHub repository kyopark2014/agent-plugins (4 stars, last pushed 24d ago), licensed MIT. It adds 9 tokens to every session and 1,160 once invoked, about $0.0000 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 commands, from other repositories
status
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improve-prompt
Analyze and enhance vague or incomplete prompts before execution.
commit
Create well-structured git commits with meaningful messages.
explain-code
Break down complex code into clear, understandable explanations.
refactor
Analyze code and suggest meaningful refactoring improvements.
review-code
Perform a thorough code review on the specified files or recent changes.