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 skills add kensaurus/cursor-kenji --skill enhance-skill-promptsgit clone --depth 1 https://github.com/kensaurus/cursor-kenjiWrote 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/kensaurus/cursor-kenji/enhance-skill-prompts)<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/enhance-skill-prompts"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/enhance-skill-prompts/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/kensaurus/cursor-kenji/enhance-skill-prompts"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/enhance-skill-prompts.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 | $0.00081 | $0.01446 |
| Opus 5 | $0.00041 | $0.00723 |
| Sonnet 5 | $0.00016 | $0.00289 |
| Haiku 4.5 | $0.00008 | $0.00145 |
Grade A, and why
enhance-skill-prompts 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 6d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
enhance-skill-prompts — Upgrade HOW a skill instructs, never WHAT it does
Degree of freedom: LOW-to-MEDIUM. This is a fragile transformation. A well-meant rewrite can change behavior. Follow the phases in order. Preserve intent, scope, and family semantics exactly. If a change would alter behavior, scope, or read-only / plan-only / apply-now stance, stop and flag it instead.
Grounded in docs/PROMPT-ENHANCEMENT-PLAYBOOK.md
and the annotated exemplar
references/exemplar-audit-auth-flows.md.
Live reference after the exemplar was applied:
skills/audit-auth-flows/SKILL.md. New skill from scratch →
meta-skill-creator.
Phase 0 — Classify the skill [HIGH freedom]
Read the target SKILL.md and determine:
- Family & register: audit/plan (interpretive → mostly HIGH) vs housekeep/deploy/migration (fragile sequences → LOW where a step must be exact).
- Judgment points: triage, severity, root cause, winner-selection → T2/T3.
- Fragile steps: probes, baseline capture, destructive ops → T1 LOW.
- Existing examples: most have none — that is usually the biggest gap.
State the classification before editing. It decides which techniques apply.
Phase 1 — Apply T1–T6 (only where they fit) [HIGH freedom]
Apply in this order. Skip any technique that does not fit and record why.
T1 — Declare degrees of freedom. Short register line under the H1.
Where mixed, tag fragile phases [LOW freedom — run exactly] and
interpretive ones [HIGH freedom]. Do not over-constrain interpretive
audits or under-constrain fragile sequences.
T2 — One structured reasoning scaffold. Named-stage chain the agent runs before concluding (audits: Observe → Interpret → Classify → Severity; plans: Propose → Risk → Keep-working → Phase). Place it ONCE near the top and reference it. Do not sprinkle generic "think step by step".
T3 — Exactly one worked example. Few-shot + CoT: the chain AND the output shape on a realistic case. Put it right after the scaffold.
What ships with it
1 file 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.
- 6d ago First seen · 134 lines · 81 tokens per session scan A a72ef6638d96
enhance-skill-prompts is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 1,446 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 2026-09-03.
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