Borrowing it
Nothing to install: this file belongs to Mahesh8214/ShadowShield-MCP. 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/Mahesh8214/ShadowShield-MCP/main/.agents/skills/codeflash/SKILL.mdgit clone --depth 1 https://github.com/Mahesh8214/ShadowShield-MCPWrote 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/mahesh8214/shadowshield-mcp/codeflash)<a href="https://agentmods.dev/skills/mahesh8214/shadowshield-mcp/codeflash"><img src="https://agentmods.dev/badge/skills/mahesh8214/shadowshield-mcp/codeflash/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/mahesh8214/shadowshield-mcp/codeflash"><img src="https://agentmods.dev/badge/skills/mahesh8214/shadowshield-mcp/codeflash.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 | $0.00023 | $0.00232 |
| Opus 5.5 | $0.00009 | $0.00093 |
| Sonnet 5.5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
codeflash 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 2mo 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.
What it actually says
Codeflash AI Skill
Codeflash automatically analyzes, benchmarks, tests, and optimizes Python code for maximum performance while maintaining behavior correctness through existing or generated pytest suites.
Installation & Environment Setup
Install Codeflash via pip:
pip install codeflash
Initialize configuration (if configuring API keys or repository settings):
codeflash init
Recommended Workflow
- Identify Target Functions: Find slow or frequently executed functions (e.g., data processing, log parsing, model inference wrappers).
- Run Benchmarks & Optimization:
Or target a specific function:codeflash --file <path_to_file.py>codeflash --file <path_to_file.py> --function <function_name> - Verify Tests: Ensure generated regression tests pass cleanly using
pytest. - Review Performance Gains: Evaluate the benchmark output comparing execution time before and after optimization.
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.
- 2mo ago First seen · 35 lines · 23 tokens per session scan A 15849d4ddb27
codeflash is a skill published in the GitHub repository Mahesh8214/ShadowShield-MCP (0 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 232 once invoked, about $0.0001 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 2026-08-31.
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