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 skills/nanoagentteam/research-claw/colmnpx skills add nanoAgentTeam/research-claw --skill colmgit clone --depth 1 https://github.com/nanoAgentTeam/research-clawWrote 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/nanoagentteam/research-claw/colm)<a href="https://agentmods.dev/skills/nanoagentteam/research-claw/colm"><img src="https://agentmods.dev/badge/skills/nanoagentteam/research-claw/colm.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.02235 |
| Opus 5 | $0.00016 | $0.01118 |
| Sonnet 5 | $0.00006 | $0.00447 |
| Haiku 4.5 | $0.00003 | $0.00224 |
Grade A, and why
colm 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 4d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[SKILL: COLM PAPER FORMAT]
Activate when: user mentions COLM, Conference on Language Modeling, or asks to use/fix the COLM template.
Execution Protocol
After this skill is activated, select the matching scenario based on user intent.
Shared Common Workflow
Before venue-specific template steps, also load and follow ml-paper-writing skill.
At minimum, apply these shared references:
writing-guide.md(narrative and clarity)citation-workflow.md(verified citations; no hallucinations)reviewer-guidelines.md(reviewer-facing quality checks)checklists.md(pre-submission gates)
Built-in template: templates/colm2025/ (referred to as TEMPLATES_DIR below), targeting COLM 2025.
Contents: colm2025_conference.sty, colm2025_conference.bst, colm2025_conference.tex, colm2025_conference.bib, colm2025_conference.pdf, fancyhdr.sty, natbib.sty, math_commands.tex.
Pre-step: Year Confirmation & Template Acquisition
This step MUST be completed before any scenario below.
- Confirm target year and stage (
submission,preprint, orfinal). Default to latest available year if user does not specify. - Check whether
TEMPLATES_DIRexists and includes required files:colm2025_conference.sty,colm2025_conference.bst,colm2025_conference.tex,fancyhdr.sty,natbib.sty. - Use local built-in template only when BOTH conditions hold:
- target year = 2025
- files in
TEMPLATES_DIRare complete
- If either condition fails (target year is not 2025 OR local template files are missing/incomplete), execute this workflow:
- Inform user local built-in template is unavailable or year-mismatched
- Open official COLM site: http://www.colmweb.org/
- Find target-year CFP/submission page and locate "Author Kit", "Style Files", or template links
- If official site has no direct files, check target-year OpenReview submission page for template links
- Download official target-year template package (
.zipor repository snapshot) - Unzip downloaded files directly into <PROJECT_CORE>.
- Continue all remaining steps with downloaded year-specific filenames
- Confirm paper type/page policy from current CFP before edits (common baseline in recent years: main text up to 9 pages, references unlimited).
- Filename substitution rule for all steps below:
- Treat
colm2025_conferencein commands/examples as a placeholder for the resolved style basename from the selected.styfile. - Example: if the downloaded file is
colm2026_conference.sty, replacecolm2025_conferencewithcolm2026_conferencein\\usepackage,\\bibliographystyle, copy commands, and checks.
- Treat
What ships with it
9 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.
- templates/colm2025/colm2025_conference.bib 496 B
- templates/colm2025/colm2025_conference.bst 26 KB
- templates/colm2025/colm2025_conference.pdf 120 KB
- templates/colm2025/colm2025_conference.sty 7.5 KB
- templates/colm2025/colm2025_conference.tex 13 KB
- templates/colm2025/fancyhdr.sty 20 KB
- templates/colm2025/math_commands.tex 12 KB
- templates/colm2025/natbib.sty 44 KB
- templates/colm2025/README.md 51 B
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.
- 4d ago First seen · 211 lines · 32 tokens per session scan A 650fc18ff3ff
colm is a skill published in the GitHub repository nanoAgentTeam/research-claw (292 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 2,235 once invoked, about $0.0002 per session on Opus 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.
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