Borrowing it
Nothing to install: this file belongs to tsdfs930514/econ-research-workflow-cn. 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/tsdfs930514/econ-research-workflow-cn/master/.claude/agents/tables-critic.mdgit clone --depth 1 https://github.com/tsdfs930514/econ-research-workflow-cnWrote 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/agents/tsdfs930514/econ-research-workflow-cn/tables-critic)<a href="https://agentmods.dev/agents/tsdfs930514/econ-research-workflow-cn/tables-critic"><img src="https://agentmods.dev/badge/agents/tsdfs930514/econ-research-workflow-cn/tables-critic/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/agents/tsdfs930514/econ-research-workflow-cn/tables-critic"><img src="https://agentmods.dev/badge/agents/tsdfs930514/econ-research-workflow-cn/tables-critic.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 | $0.00000 | $0.01112 |
| Opus 5 | $0.00000 | $0.00556 |
| Sonnet 5 | $0.00000 | $0.00222 |
| Haiku 4.5 | $0.00000 | $0.00111 |
Grade A, and why
tables-critic 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 12d 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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 138 lines · 0 tokens per session scan A 63d55c1fbdef
tables-critic is an agent published in the GitHub repository tsdfs930514/econ-research-workflow-cn (2 stars, last pushed 6mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,112 tokens. 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.
Other agents, from other repositories
doc-author
Drafts and edits executable Stencila documents (.smd, .myst, .qmd). Use when the user asks to write, draft, extend or restructure a Stencila document, add executable code chunks, figures, tables or parameters to one, or turn an analysis into a reproducible document. Verifies its work by executing before reporting done.
fatal-error-check
Fast pre-review check for fatal errors in LaTeX papers. Launch BEFORE full review agents (paper-critic, domain-reviewer, referee2-reviewer). Binary PASS/FAIL verdict in 15-30 seconds. Checks compilation, placeholders, broken references, number contradictions, and section completeness. Examples: Example 1: user: "Quick…
visualization-agent
Parses paper data and statistical results to generate publication-quality figure code in Python (matplotlib/seaborn) or R (ggplot2) formatted to APA 7.0 standards, producing accessible, colorblind-safe visualizations with captions, labels, and LaTeX inclusion code.
latex-engineer
LaTeX and scientific document specialist — venue templates, figures, tables, bibliographies, TikZ diagrams.
latex-implementation-agent
Implement LaTeX documents following implementation plans.
document-gen-worker
Generates a single synthetic clinical document (clinical note, imaging report, pathology report, or NGS report) for one event in a patient's timeline. Uses the masked-text approach with full patient event context. Spawned by the generate-synthetic-data skill -- do not invoke directly.