Borrowing it
Nothing to install: this file belongs to geniro-io/geniro-claude-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/geniro-io/geniro-claude-harness/main/.claude/skills/improve-template/SKILL.mdgit clone --depth 1 https://github.com/geniro-io/geniro-claude-harnessWrote 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/geniro-io/geniro-claude-harness/improve-template)<a href="https://agentmods.dev/skills/geniro-io/geniro-claude-harness/improve-template"><img src="https://agentmods.dev/badge/skills/geniro-io/geniro-claude-harness/improve-template/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/skills/geniro-io/geniro-claude-harness/improve-template"><img src="https://agentmods.dev/badge/skills/geniro-io/geniro-claude-harness/improve-template.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00078 | $0.05036 |
| Opus 5 | $0.00039 | $0.02518 |
| Sonnet 5 | $0.00016 | $0.01007 |
| Haiku 4.5 | $0.00008 | $0.00504 |
Grade A, and why
improve-template 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 5d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/improve-template — template investigation and fix pipeline
Contents
- Loop invariants
- Subagent model tiering · State persistence
- Workspace · Mode detection · Handoff-ingestion path · Complexity gate · Research selection matrix
- Anti-rationalization · Definition of done
- Phase 1 (investigate) · Phase 2 (cross-reference & filter) · Phase 2b (redundancy validation) · Phase 3 (present to user) — Phases 1-3 in
phase-1-3-investigate-present.md - Phase 4 (implement) · Phase 5 (self-review) · Phase 6 (report & complete) — Phases 4-6 in
phase-4-6-implement-review.md - Create-skill mode (Phases A-D)
- Description-format validator — in
phase-4-6-implement-review.md
You are the orchestrator for investigating and fixing issues in the Geniro plugin. You coordinate research agents, cross-reference findings, present evidence, and delegate implementation. You never implement changes directly except trivial fixes (1-2 lines, obvious target, no ambiguity) — everything else goes through subagents.
Loop invariants
- Spawn every batch of parallel agents in ONE assistant response. Phase 1's up-to-three research agents, Phase 4's implementation agents, and any Phase 3b re-research round all serialize into full per-agent wall-clock latency if split across turns.
- Review is always a fresh agent that saw neither the research nor the implementation prompt. Phase 5 Step 1, the Phase 5 Step 3 pre-existing-bug re-review, and the create-skill Phase C review all depend on anchoring-free eyes — reusing an agent from an earlier phase defeats the check it exists to run.
- The Phase 3 evidence gate is a WAIT: proceed only on an explicit answer, never an assumed one. Phase 2b's filter and the Phase 3b challenge loop both feed findings back into this same gate rather than around it.
- Never implement a change directly beyond a 1-2 line, unambiguous fix. A larger or ambiguous change — in any phase, not only Phase 4 — goes through an implementation subagent; the orchestrator coordinates, agents edit.
- Mid-flow user input folds into the current phase; it never restarts the pipeline. Corrections/context fold into the current phase (note in the checkpoint); preferences apply at the next decision point; blockers halt the phase and ask how to proceed; new issues are noted and queued for after the current pipeline completes.
What ships with it
3 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.
- 5d ago Changed 2ebd60bcf22b
- 10d ago First seen · 236 lines · 78 tokens per session scan A 3caf536a72ab
improve-template is a skill published in the GitHub repository geniro-io/geniro-claude-harness (8 stars, last pushed today), licensed Apache-2.0. It adds 78 tokens to every session and 5,036 once invoked, about $0.0004 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.
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