Borrowing it
Nothing to install: this file belongs to TencentEdgeOne/claude-agent-starter-python. 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/TencentEdgeOne/claude-agent-starter-python/main/.claude/skills/sandbox-algorithms/SKILL.mdgit clone --depth 1 https://github.com/TencentEdgeOne/claude-agent-starter-pythonWrote 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/tencentedgeone/claude-agent-starter-python/sandbox-algorithms)<a href="https://agentmods.dev/skills/tencentedgeone/claude-agent-starter-python/sandbox-algorithms"><img src="https://agentmods.dev/badge/skills/tencentedgeone/claude-agent-starter-python/sandbox-algorithms/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/tencentedgeone/claude-agent-starter-python/sandbox-algorithms"><img src="https://agentmods.dev/badge/skills/tencentedgeone/claude-agent-starter-python/sandbox-algorithms.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 | $0.00066 | $0.00593 |
| Opus 5.5 | $0.00026 | $0.00237 |
| Sonnet 5.5 | $0.00013 | $0.00119 |
| Haiku 4.5 | $0.00007 | $0.00059 |
Grade A, and why
sandbox-algorithms 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sandbox Algorithms
Purpose
Execute small deterministic algorithm tasks through the EdgeOne sandbox code interpreter instead of relying only on model reasoning.
Filesystem (critical)
This skill directory exists only on the Claude Code host (the agent process). It is not mounted into the EdgeOne sandbox.
After this skill loads, do not list or search the skill base directory.
Never call files_list, files_read, files_exists, or commands on:
- this skill's base directory
/tmp/user-code.claude/skills- any other agent
cwdpath
Those tools operate on a separate sandbox VM and will return not found.
If you need scripts/algorithms.py, use Claude Code Read on .claude/skills/sandbox-algorithms/scripts/algorithms.py. For typical algorithm questions, skip that file and run a self-contained snippet.
When to Use
Use this skill for requests involving:
- Fibonacci sequence calculation.
- Factorial calculation.
- Prime or composite number checks.
- Prime list generation.
- Sorting or searching examples.
- Combination, permutation, or binomial coefficient calculation.
- Small dynamic programming demonstrations.
- User requests that explicitly mention sandbox execution, runCode, code_interpreter, or algorithm scripts.
Workflow
- Identify the algorithm task and required inputs.
- Write a small self-contained Python snippet. Do not probe the skill directory first.
- Execute the snippet with the EdgeOne sandbox
code_interpretertool. - Inspect
results,logs, anderror. - If execution fails, fix the code and run once more.
- Return the final answer with a short explanation and the executed result.
Tool Usage Rules
- Use
code_interpreterfor actual computation whenever available. - Do not fake tool outputs.
- Do not rely only on mental arithmetic for requested algorithm execution.
- Keep code snippets deterministic and self-contained. Put the full implementation in the
codeargument; do notimporthost skill files. - Set a reasonable timeout, usually 5 to 15 seconds for small algorithms.
- Avoid network access unless the user explicitly asks for it.
- Avoid writing files unless a file is necessary for the task.
What ships with it
2 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.
- 2mo ago First seen · 83 lines · 66 tokens per session scan A db09c3a7cfd0
sandbox-algorithms is a skill published in the GitHub repository TencentEdgeOne/claude-agent-starter-python (3 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 593 once invoked, about $0.0003 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.
sandbox-algorithms compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sandbox-algorithmsTencentEdgeOne/claude-agent-starter-python | Skill | 3 | 2mo ago | MIT | A | 66 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 36k | today | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 57k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 57k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 57k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | today | Apache-2.0 | A | 205 | Claude Code |