skill-v0lka-skills-prompts-review · by Install
$ agentstack add skill-v0lka-skills-prompts-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-v0lka-skills-prompts-review) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Prompt Review
Conduct a structured review of every prompt in the codebase: system prompts, summarization instructions, tool descriptions, dynamic injections, and any string literal that will be sent to an LLM as instruction or context.
When NOT to Use This Skill
- The prompt is already producing correct, reliable output and no specific
issue has been reported.
- The prompt is small (
- File: path:line
- Type: system | summarization | tool-description | dynamic-injection | context
- Token estimate: ~N tokens
- Issues found:
- [Issue category]: description + suggested fix
- ...
- Suggested revision: (only if changes are non-trivial)
### Summary Report
After all prompts are reviewed, produce:
Prompt Review Summary
| # | Prompt | File:Line | Tokens | Issues | Severity | |---|--------|-----------|--------|--------|----------| | 1 | ... | ... | ~N | N | high/med/low |
Top Recommendations (ranked by token savings x impact)
- ...
Estimated Total Savings
- Current total: ~N tokens
- After fixes: ~N tokens
- Savings: ~N tokens (~X%)
## Severity Levels
- **High** — prompt actively harms output quality, causes misbehavior, or
wastes >30% of its tokens on redundancy.
- **Medium** — prompt works but has clear optimization opportunities (10-30%
token savings possible, or clarity improvements).
- **Low** — minor style or structure improvements; functional as-is.
## Key Principles
When evaluating, prioritize output quality over token savings. The LLM is
very capable, but context *activates* its knowledge — don't strip reminders
that direct attention to the right domain. Every token competes for context
window space, but a wrong answer costs more than a few extra tokens. When in
doubt, preserve the prompt.
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [v0lka](https://github.com/v0lka)
- **Source:** [v0lka/skills](https://github.com/v0lka/skills)
- **License:** MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.