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/odarino/haren/implementnpx skills add odarino/haren --skill implementgit clone --depth 1 https://github.com/odarino/harenWrote 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/odarino/haren/implement)<a href="https://agentmods.dev/skills/odarino/haren/implement"><img src="https://agentmods.dev/badge/skills/odarino/haren/implement.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 | $0.00012 | $0.00602 |
| Opus 5 | $0.00006 | $0.00301 |
| Sonnet 5 | $0.00002 | $0.00120 |
| Haiku 4.5 | $0.00001 | $0.00060 |
Grade A, and why
implement 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement
Execute the implementation plan for a module, one feature at a time.
Pre-Implementation (every session)
- Run read-context skill to orient
- Read tasks from the active plan path (see skill.md Plan Paths convention)
- Read
progress.jsonto find current feature status - Read
artifacts/05-implementation/{module}/task-{N}-{slug}.mdif it exists for the target feature (previous session context) - If iterations enabled, also read the master plan path for broader module context if needed
- Pick the highest-priority feature in "pending" status
Implementation Loop
For each feature:
- Update feature status to "in-progress" via update-tracking skill
- Delegate to superpowers:subagent-driven-development:
- Pass the full task description from tasks.md
- Pass the design context from design.md
- Ensure TDD discipline via superpowers:test-driven-development
- After implementation:
- Commit code in the target repo with descriptive message
- Update feature status to "evaluating" via update-tracking skill
- Append to task session log (
task-{N}-{slug}.md): what was done, decisions made, any deviations from plan - Emit "feature-ready" event to events/events.jsonl
Session Log
Each task gets its own session log file under artifacts/05-implementation/{module}/:
- Convention:
task-{number}-{slug}.mdwhere slug matches the feature key inprogress.json - Examples:
task-1-scaffold.md,task-2-sync-skills-api.md,task-5-analytics.md - This allows parallel development — each developer owns their task file with no merge conflicts
If iterations are enabled (check manifest.yaml for iterations block), include the Iteration: field in session log header with the value of currentIteration from progress.json. If not enabled, omit it.
## Session {date} {time}
### Working on: {feature-name}
- Key decisions made and why
- Files created/modified
- Commit hash
- Any deviations from the plan
### Next up
{next feature or "all features complete"}
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 · 69 lines · 12 tokens per session scan A 32ff064d6138
implement is a skill published in the GitHub repository odarino/haren (11 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 602 once invoked, about $0.0001 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
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brainstorming
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auto-perf-optimize
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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…