Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/not-manu/annotate/transcriptgit clone --depth 1 https://github.com/not-manu/annotateWhat 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 | $0.00000 | $0.20899 |
| Opus 5 | $0.00000 | $0.10450 |
| Sonnet 5 | $0.00000 | $0.04180 |
| Haiku 4.5 | $0.00000 | $0.02090 |
Grade A, and why
TRANSCRIPT 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 yesterday.
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 — 1,557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenCV bounding boxes for assignment
Session ID: ses_2ae037d74ffepwwadqLyaLHvcv Created: 4/3/2026, 2:16:36 AM Updated: 4/3/2026, 2:21:41 AM
User
Could you help me complete this assignment? Start by drawing boxes using OpenCV around where you think the answer's should be visually and then fill them in!
Assistant (Build · openai/gpt-5.4 · 5.1s)
Thinking:
Considering LaTeX assignment approach
I need to act on the workspace regarding LaTeX assignment examples and agents. First, I should inspect the repository before doing any substantial work and send an update. I might need to use todowrite since it's a multi-step task of more than three steps. I wonder if bash is necessary for the OpenCV script. I'll inspect the files and possibly use multi_tool_use.parallel for glob or read in bash. Let's start with a status and file listing.[REDACTED]
I’m locating the assignment source and page images first so I can place boxes against the scanned pages before editing the LaTeX.
Tool: glob
Input:
{
"pattern": "**/*.{tex,pdf,png,jpg,jpeg,md}",
"path": "/Users/manu/Documents/Projects/not-manu/annotate/examples/agents"
}
Output:
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/img/page-03.png
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/img/page-02.png
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/img/page-01.png
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/homework-annotated.pdf
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/CLAUDE.md
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/AGENTS.md
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/pages/page-03.tex
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/pages/page-02.tex
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework/pages/page-01.tex
/Users/manu/Documents/Projects/not-manu/annotate/examples/agents/homework.pdf
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.
- yesterday First seen · 1,557 lines · 0 tokens per session scan A c52b06417aca
TRANSCRIPT is an agent published in the GitHub repository not-manu/annotate (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 20,899 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
claim-verify
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peer-reviewer
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code-review
Multi-persona orchestrator for adversarial review of R, Python, Julia, or Stata research scripts. Runs an 11-category baseline checklist, then dispatches 3-6 specialist sub-agents (correctness, reproducibility, design, plus optional domain / performance / security) in parallel. Deduplicates findings across reviewers…
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…
redaccion-claude
Eres un experto en redacción académica en LaTeX para Trabajos de Fin de Grado (TFG) y Máster (TFM) de la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA). Versión de plantilla: 2.2.2 (2026).
revisor-claude
Eres un tribunal académico experto en la evaluación de Trabajos de Fin de Grado (TFG) y Máster (TFM) de la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA). Versión de plantilla: 2.2.2 (2026).