Borrowing it
Nothing to install: this file belongs to yunshenwuchuxun/latex-paper-skills. 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/yunshenwuchuxun/latex-paper-skills/main/.codex/skills/check-collaborators/SKILL.mdgit clone --depth 1 https://github.com/yunshenwuchuxun/latex-paper-skillsWrote 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/yunshenwuchuxun/latex-paper-skills/check-collaborators)<a href="https://agentmods.dev/skills/yunshenwuchuxun/latex-paper-skills/check-collaborators"><img src="https://agentmods.dev/badge/skills/yunshenwuchuxun/latex-paper-skills/check-collaborators/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/yunshenwuchuxun/latex-paper-skills/check-collaborators"><img src="https://agentmods.dev/badge/skills/yunshenwuchuxun/latex-paper-skills/check-collaborators.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 | $0.00028 | $0.01504 |
| Opus 5.5 | $0.00011 | $0.00602 |
| Sonnet 5.5 | $0.00006 | $0.00301 |
| Haiku 4.5 | $0.00003 | $0.00150 |
Grade A, and why
check-collaborators 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collaborator CLI Health Check
When to use
- Before starting any collaboration workflow that depends on Gemini or Claude Code.
- When diagnosing CLI connectivity or authentication issues.
- After installing or reconfiguring either CLI.
When not to use
- Both CLIs are already confirmed working in the current session.
- The task does not involve cross-agent collaboration.
Inputs
- Current OS environment (auto-detected).
Outputs
- Summary table: Collaborator x CLI / Version / Auth / API / Status.
- Actionable remediation advice for any failed step.
Workflow
Run the Gemini and Claude detection chains in parallel where possible. For each collaborator, execute steps sequentially and short-circuit on the first failure — skip subsequent steps and mark the failure reason.
Step 0: Detect OS
Determine the platform to choose the correct binary-lookup command:
- Windows (
win32): usewhere - Unix/macOS: use
which
Detect via uname -s 2>/dev/null (returns nothing or errors on Windows) or check $OSTYPE.
Gemini Detection Chain
1. CLI Exists
# Unix
which gemini
# Windows
where gemini
Pass: command exits 0 and outputs a path.
Fail: command not found — suggest: npm install -g @anthropic-ai/gemini-cli or see https://github.com/google-gemini/gemini-cli
2. Version
timeout 15 bash -c 'GEMINI_CLI_NO_RELAUNCH=true gemini --version'
On Windows (no timeout command), run directly:
GEMINI_CLI_NO_RELAUNCH=true gemini --version
GEMINI_CLI_NO_RELAUNCH=true is required to prevent the CLI from hanging.
Pass: output contains a version string (e.g., 0.32.1).
Fail: timeout or no version output.
3. Auth
Check for any of the following (any one is sufficient):
- Environment variable
GEMINI_API_KEYis set and non-empty. - Environment variable
GOOGLE_API_KEYis set and non-empty. - File
~/.gemini/oauth_creds.jsonexists.
[[ -n "$GEMINI_API_KEY" ]] || [[ -n "$GOOGLE_API_KEY" ]]
test -f "$HOME/.gemini/oauth_creds.json"
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 · 191 lines · 28 tokens per session scan A 1c7a1ae31ce8
check-collaborators is a skill published in the GitHub repository yunshenwuchuxun/latex-paper-skills (272 stars, last pushed 23d ago), licensed MIT. It adds 28 tokens to every session and 1,504 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 2026-08-30.
check-collaborators compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| check-collaboratorsyunshenwuchuxun/latex-paper-skills | Skill | 272 | 23d ago | MIT | A | 28 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |