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/lovstudio/skillsnpx agentmods add skills/lovstudio/skills/bp-polishWrote 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/lovstudio/skills/bp-polish)<a href="https://agentmods.dev/skills/lovstudio/skills/bp-polish"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/bp-polish.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 5.1 | $0.00104 | $0.01387 |
| Opus 5 | $0.00052 | $0.00694 |
| Sonnet 5 | $0.00021 | $0.00277 |
| Haiku 4.5 | $0.00010 | $0.00139 |
Grade A, and why
lov-bp-polish 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BP Polish
Improve an existing BP without silently changing its business facts. This skill can be used before deck production, after rendering, or in a correction loop.
Modes
| Mode | Input | Focus |
|---|---|---|
content |
Outline / Markdown | Product definition, story, copy, page rhythm |
evidence |
Outline + ledger/sources | Claims, metrics, TAM/SAM/SOM, assumptions |
visual |
PPTX/PDF/slide images | Hierarchy, charts, layout, branding, QR codes |
full |
Any complete BP workspace | All dimensions + correction loop |
Infer the smallest useful mode from the request. Do not require a PDF when the user only wants the outline reviewed.
Output Contract
business-plan/
├── reports/bp-review.md
├── outline.md # patched only when authorized by the request
├── deck-manifest.md # updated for visual fixes
└── revised slide/deck assets # only affected artifacts
Workflow (MANDATORY)
Step 0: Resolve source and mode
Resolve this SKILL.md directory as SKILL_DIR. Inspect the supplied source and any
existing BP workspace. Reuse audience, stage, style, and evidence definitions.
If multiple review modes are plausible, prefill from the user's wording. Ask one
compact question only when the choice materially changes the work. “不专业” defaults
to full; “文字太技术” defaults to content; “图表不好看” defaults to visual.
Read references/review-rubric.md, references/charts-and-visuals.md, and
references/user-config.md as relevant.
Step 1: Run deterministic outline audit
When an outline exists:
python3 "$SKILL_DIR/scripts/audit_bp.py" \
--input ./business-plan/outline.md \
--output ./business-plan/reports/bp-review.md
Use --strict before final delivery. The script checks structure and evidence
hygiene; it does not replace investor judgment or visual inspection.
Step 2: Review as four adversaries
- Non-technical investor — can the product be repeated after ten seconds?
- Category expert — which product/competition claims are naive or imprecise?
- Skeptical partner — which core claims lack proof or overstate traction?
- Design director — where does layout reduce trust or distort meaning?
What ships with it
7 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.
- 6d ago First seen · 142 lines · 104 tokens per session scan A f7151cf5989d
lov-bp-polish is a skill published in the GitHub repository lovstudio/skills (64 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 1,387 once invoked, about $0.0005 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.
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