Borrowing it
Nothing to install: this file belongs to scitex-ai/claude-code-telegrammer. 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/scitex-ai/claude-code-telegrammer/main/.claude/skills/scitex/crossref-local/SKILL.mdgit clone --depth 1 https://github.com/scitex-ai/claude-code-telegrammerWrote 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/scitex-ai/claude-code-telegrammer/crossref-local)<a href="https://agentmods.dev/skills/scitex-ai/claude-code-telegrammer/crossref-local"><img src="https://agentmods.dev/badge/skills/scitex-ai/claude-code-telegrammer/crossref-local/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/scitex-ai/claude-code-telegrammer/crossref-local"><img src="https://agentmods.dev/badge/skills/scitex-ai/claude-code-telegrammer/crossref-local.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 | $0.00036 | $0.00227 |
| Opus 5.5 | $0.00014 | $0.00091 |
| Sonnet 5.5 | $0.00007 | $0.00045 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
crossref-local 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
16 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.
- 01_configuration.md 2.4 KB
- 02_search.md 2.7 KB
- 03_retrieval.md 2.3 KB
- 04_models.md 3.5 KB
- 05_citations.md 3.0 KB
- 06_checker.md 3.1 KB
- 07_cache.md 3.5 KB
- 08_export.md 2.7 KB
- 09_async.md 2.2 KB
- 10_cli.md 3.8 KB
- 11_mcp.md 4.1 KB
- cli-reference.md 997 B
- mcp-tools.md 962 B
- performance.md 265 B
- quick-start.md 685 B
- workflows.md 1.8 KB
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 · 25 lines · 36 tokens per session scan A 2de6de90ffd6
crossref-local is a skill published in the GitHub repository scitex-ai/claude-code-telegrammer (1 stars, last pushed 9d ago), licensed AGPL-3.0. It adds 36 tokens to every session and 227 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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