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/dasdigitalemomentum/opencode-processing-skills/update-plannpx skills add DasDigitaleMomentum/opencode-processing-skills --skill update-plangit clone --depth 1 https://github.com/DasDigitaleMomentum/opencode-processing-skillsWrote 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/dasdigitalemomentum/opencode-processing-skills/update-plan)<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/update-plan"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/update-plan.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 | $0.00049 | $0.01832 |
| Opus 5 | $0.00024 | $0.00916 |
| Sonnet 5 | $0.00010 | $0.00366 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
update-plan 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 3d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Update Plan
What This Skill Does
Keeps planning artifacts synchronized with actual progress:
- Updates todo items (mark done, add new items, note blockers)
- Updates phase status (pending → in_progress → completed)
- Updates plan status and changelog
- Updates implementation plan if approach changed during work
- Prepares for next phase when current phase completes
When to Use
- During work on a plan phase: to track progress in real-time
- After completing work: to mark items and phases as done
- When blockers are discovered: to document them
- When the implementation approach changes: to update the implementation plan
- After a plan review: to apply accepted Remove / Merge / Simplify findings while keeping scope artifacts consistent
- When the user asks to "update the plan" or "mark phase as done"
Execution Model (Recommended)
- Preferred: the primary agent runs this skill and updates artifacts under
plans/<name>/. - Rationale: plan updates encode session decisions and current intent; the primary has the best access to that context.
- Use
doc-exploreronly if verifying acceptance criteria requires codebase analysis (results are written todocs/). - Optional (edge cases): delegate mechanical edits (bulk todo moves, large reshuffles) to
doc-explorerif needed.
Routing Matrix (Who does what)
- Writes: updates under
plans/<name>/includingplan.md,todo.md,phases/**, and (when needed)implementation/**. - Primary: preferred owner for updates (session decisions/intents live here).
- doc-explorer: optional helper for mechanical edits or codebase analysis to verify acceptance criteria.
- implementer: never used for plan maintenance.
Workflow
Step 1: Identify the Plan
Find the active plan:
- Check
plans/directory for existing plans - If multiple plans exist, use the
questiontool to ask the user which plan - Read the plan's
plan.mdto understand the current status - Read
todo.mdto see current task state
What ships with it
4 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.
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.
- 3d ago First seen · 191 lines · 49 tokens per session scan A 62b0f8056797
update-plan is a skill published in the GitHub repository DasDigitaleMomentum/opencode-processing-skills (59 stars, last pushed 24d ago), licensed MIT. It adds 49 tokens to every session and 1,832 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…