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 skills add iowarp/clio-kit --skill clio-kit-materio-task-verifiergit clone --depth 1 https://github.com/iowarp/clio-kitWrote 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/iowarp/clio-kit/clio-kit-materio-task-verifier)<a href="https://agentmods.dev/skills/iowarp/clio-kit/clio-kit-materio-task-verifier"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/clio-kit-materio-task-verifier/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/iowarp/clio-kit/clio-kit-materio-task-verifier"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/clio-kit-materio-task-verifier.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 | $0.00045 | $0.00810 |
| Opus 5.5 | $0.00018 | $0.00324 |
| Sonnet 5.5 | $0.00009 | $0.00162 |
| Haiku 4.5 | $0.00005 | $0.00081 |
Grade A, and why
clio-kit-materio-task-verifier 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 9d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Host compatibility
This copy is adapted from Clio Coder. Apply the procedure using the current host's available tools and the user's authorized scope. The tool names, /skill invocations, .clio-coder paths, fleets, approval gates and completion gates below describe Clio Coder; they are not installed or enforced by this skill in another host. Use the host's actual skill invocation and equivalent tools. If no equivalent exists, report the missing capability. Do not assume a tool is unavailable merely because the original headless workflow says so. A referenced agent or skill must be installed before relying on it. Scientific MCPs must be configured separately.
Adapted skills use the clio-kit- prefix to distinguish them from upstream audited skills. For a companion skill named below, select its clio-kit- copy from this collection; native agents, fleets and external programs retain their original names.
Independently read one approved task specification, its actual output inventory, and summary. Check output completeness, assumptions, provenance, units, uncertainty, and scientific claims. Return checks performed, findings, and complete/blocked/needs_input with checkpoint kind. Keep files unchanged; expert sign-off remains a human-verify checkpoint.
Read the shared research policy for state, provenance, execution boundaries, and advisory validation.
Read the linked references when needed. Resolve links from this skill directory. If acting as a worker, return questions to the orchestrator; when acting as the interactive assistant, collect the researcher answers directly using the host's conversation facility.
Independent task verification
Treat the workflow task as an output contract. Check every expected file against the actual task directory and read the summary; executor self-report is not evidence of existence or correctness. Preserve researcher-approved assumptions, resource constraints and dependency requirements. Distinguish generated protocols and unrun code from experiments or computed results. Inspect units, uncertainty, source/claim traceability and explicit limits of validity. A citation entry alone cannot establish a source supports a claim.
What ships with it
32 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.
- assets/actions/add-task.md 3.8 KB
- assets/actions/archive-task.md 3.5 KB
- assets/actions/checkpoint.md 3.0 KB
- assets/actions/define-research-tasks.md 13 KB
- assets/actions/define-virtual-lab.md 11 KB
- assets/actions/execute-task.md 16 KB
- assets/actions/help.md 7.3 KB
- assets/actions/identify-research.md 12 KB
- assets/actions/literature-review.md 12 KB
- assets/actions/pause-research.md 2.3 KB
- assets/actions/progress.md 4.5 KB
- assets/actions/remove-task.md 3.6 KB
- assets/actions/resume-research.md 3.4 KB
- assets/actions/settings.md 2.5 KB
- assets/actions/status.md 4.7 KB
- assets/actions/upload-data.md 5.1 KB
- assets/actions/wtfp.md 15 KB
- assets/references/research-domains.md 4.5 KB
- assets/references/research-policy.md 5.0 KB
- assets/references/traditional-workflows.md 5.2 KB
- assets/scripts/check_physics.py 11 KB runs code
- assets/scripts/check_scripts.py 10 KB runs code
- assets/scripts/research_state.py 17 KB runs code
- assets/scripts/verify_citations.py 23 KB runs code
- assets/templates/config.json 78 B
- assets/templates/RESEARCH.md 1.5 KB
- assets/templates/VIRTUAL-LAB.md 5.2 KB
- assets/templates/WORKFLOW.md 1.1 KB
- evals.md 426 B
- LICENSE 11 KB
- NOTICE 3.0 KB
- upstream-provenance.json 467 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.
- 9d ago First seen · 66 lines · 45 tokens per session scan A 8961697095b8
clio-kit-materio-task-verifier is a skill published in the GitHub repository iowarp/clio-kit (30 stars, last pushed 8d ago), licensed BSD-3-Clause. It adds 45 tokens to every session and 810 once invoked, about $0.0002 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 2026-10-08.
Other skills, from other repositories
bio-ortholog-inference
Pull pre-computed ortholog calls from public databases (OrthoDB, Ensembl Compara, OMA browser, eggNOG, PANTHER, KEGG Orthology, HomoloGene) via their REST APIs. Use when orthologs are already curated upstream, when the question is "what is the X ortholog of Y" rather than "how to infer orthology de novo", when…
admet_genetic
ADMET-guided genetic molecule optimization workflow from seed SMILES; use when the agent needs to build or run an RDKit/SA-Score/ADMET-AI GA pipeline for molecule optimization, enforce molecule lineage logs, render optimization-history HTML dashboards, and write candidate triage reports.
paper-figures
Use this skill to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). It renders numerical data into formal scientific visualizations—including scatter, line, bar, pie, ring, bubble, tornado, KDE, violin, box, heatmap, histogram, and area…
paper-planning
Guides pre-writing planning for academic papers with 4 structured steps: story design (task-challenge-insight-contribution-advantage), experiment planning (comparisons + ablations), figure design (pipeline + teaser), and 4-week timeline management. Includes counterintuitive planning tactics (write a mock rejection…
paper-review
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing. Core method: three passes (adversarial deep read; 5-aspect checklist — contribution sufficiency, writing clarity, results quality, testing completeness, method design; mechanical consistency scans and experimental protocol…
experiment-craft
Use this skill when the user wants to debug, diagnose, or systematically iterate on an experiment that already exists, or when they need a structured experiment log for tracking runs, hypotheses, failures, results, and next steps during active research. Apply it to underperforming methods, training that will not…