Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AytuncYildizli/reprompternpx agentmods add skills/aytuncyildizli/reprompter/reprompter-improveWrote 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/aytuncyildizli/reprompter/reprompter-improve)<a href="https://agentmods.dev/skills/aytuncyildizli/reprompter/reprompter-improve"><img src="https://agentmods.dev/badge/skills/aytuncyildizli/reprompter/reprompter-improve/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/aytuncyildizli/reprompter/reprompter-improve"><img src="https://agentmods.dev/badge/skills/aytuncyildizli/reprompter/reprompter-improve.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 | $0.00154 | $0.04425 |
| Opus 5.5 | $0.00062 | $0.01770 |
| Sonnet 5.5 | $0.00031 | $0.00885 |
| Haiku 4.5 | $0.00015 | $0.00443 |
Grade A, and why
reprompter-improve 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RePrompter — Improve (Single prompt)
Mode skill of the
reprompterplugin. Entry/routing:../reprompter/SKILL.md. Output formats beyond paste (/goalcard,.workflow.js, headless-relay delivery):../reprompter-goal-workflow/SKILL.md. Whole-product builds:../reprompter-oneshot/SKILL.md. Multi-agent:../reprompter-team/SKILL.md.scripts/<name>paths resolve to the bundled../reprompter/scripts/<name>(e.g.../reprompter/scripts/outcome-record.js).Required reading:
../reprompter/references/advanced-features.md(context engineering, uncertainty handling, token budget, Flywheel, pattern library). The always-on rules in../reprompter/SKILL.md→ "Core shared rules" (context check, uncertainty permission, WHAT not HOW) apply to every generated prompt. Every template named below lives inreferences/next to this file. Content below is verbatim from root SKILL.md (lines 358-591, 1560-1606) except where marked Moved.
Intent: Improve (Single prompt)
Shape decision (specifiability router)
Before the template pick, decide the OUTPUT SHAPE from the interview:
Default is spec-XML. Only switch to outcome-prose on a STRONG whole-product signal, and when in doubt, stay spec-XML — a scored structured prompt is never the wrong answer for a coding task, and it is what "reprompt this" has always produced.
- Spec-XML (default) — any bounded change (bugfix, endpoint, refactor, a feature in named files), anything with an enumerable done-state, and anything ambiguous. Scored on the six dimensions, exactly as always.
- Outcome-prose (only on a strong signal) — the ask is to build a WHOLE product or artifact from near-zero (a whole app/game/site/deck), OR it names a real product as the quality bar for a from-scratch build ("build me X like Linear"). Then emit the One-Shot three-paragraph shape (
references/oneshot-template.md), including its constraints sentence for load-bearing negatives ("never touch auth"). Announce and offer the exit: "This looks like a whole-product build — I'll write an autonomous build prompt; say 'spec' for the structured, scored version instead." The user's override always wins. Outcome-prose is not scored on the six dimensions. This is the same artifact the Build intent produces — an Improve ask that is really a whole-product build and the Build intent converge on one prose brief, deliberately; there is no separate Improve-only build shape to disambiguate. - Mixed asks (a bounded change described with a reference, e.g. "add a settings page like Linear's to our app") are spec-XML: the reference informs the requirements, it does not trigger a from-scratch build. When genuinely unsure which one an ask is, ask one discriminator question — "a fresh build, or a change to something that exists?" — and default to spec-XML on a fresh session with no answer.
What ships with it
25 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.
- references/api-template.md 4.8 KB
- references/bugfix-template.md 4.5 KB
- references/content-template.md 4.5 KB
- references/docs-template.md 4.9 KB
- references/engineering-swarm-template.md 4.3 KB
- references/extended-xml-tags.md 1.6 KB
- references/feature-template.md 3.9 KB
- references/flywheel-bias.md 3.6 KB
- references/marketing-swarm-template.md 4.0 KB
- references/oneshot-template.md 30 KB
- references/ops-swarm-template.md 4.2 KB
- references/outcome-schema.md 12 KB
- references/patterns/pattern-catalog.md 1.2 KB
- references/refactor-template.md 5.1 KB
- references/repromptverse-template.md 3.8 KB
- references/research-swarm-template.md 4.2 KB
- references/research-template.md 7.8 KB
- references/reverse-template.md 6.7 KB
- references/runtime/claude-workflow-runtime.md 9.8 KB
- references/security-template.md 4.9 KB
- references/swarm-template.md 10.0 KB
- references/team-brief-template.md 7.1 KB
- references/testing-template.md 4.6 KB
- references/ui-template.md 4.8 KB
- references/workflow-template.md 6.3 KB
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 · 277 lines · 154 tokens per session scan A c88b98aa6c56
reprompter-improve is a skill published in the GitHub repository AytuncYildizli/reprompter (118 stars, last pushed yesterday), licensed MIT. It adds 154 tokens to every session and 4,425 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-16.
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