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 Axect/magi-researchers --skill research-executegit clone --depth 1 https://github.com/Axect/magi-researchersWrote 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/axect/magi-researchers/research-execute)<a href="https://agentmods.dev/skills/axect/magi-researchers/research-execute"><img src="https://agentmods.dev/badge/skills/axect/magi-researchers/research-execute/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/axect/magi-researchers/research-execute"><img src="https://agentmods.dev/badge/skills/axect/magi-researchers/research-execute.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 | $0.03370 |
| Opus 5 | $0.00000 | $0.01685 |
| Sonnet 5 | $0.00000 | $0.00674 |
| Haiku 4.5 | $0.00000 | $0.00337 |
Grade A, and why
research-execute 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Execute Skill
Description
Executes the research code in src/ to generate result artifacts in results/. This is Phase 3.5
of the research pipeline, sitting between Implementation (Phase 3) and Testing & Visualization (Phase 4).
Reads execution commands deterministically from the YAML frontmatter of plan/research_plan.md — no
keyword heuristics, no entry-point guessing. The full run command is defined once during planning and
executed here.
Usage
/research-execute [path/to/output/dir]
Arguments
$ARGUMENTS— Optional path to the research output directory. If not provided, uses the most recentoutputs/*/directory.
Instructions
Claude-Only Mode
When --claude-only is active, there are no Gemini/Codex calls in this skill. All steps are
performed by Claude directly.
Step 0: Locate Research Plan & Check Prerequisites
- Find the active research output directory (from
$ARGUMENTSor most recentoutputs/*/). - Read
plan/research_plan.mdand parse the YAML frontmatter:--- languages: ["rust", "python"] ecosystem: ["cargo", "uv"] execution_cmd: "bash run_all.sh" dry_run_cmd: "bash run_all.sh --dry-run" expected_outputs: - "results/metrics.csv" - "results/checkpoint.pt" estimated_runtime: "~30 minutes" --- - Prefer
execution_manifest.json: Check ifexecution_manifest.jsonexists in the output directory root. If it does, read execution fields from this file instead of the YAML frontmatter:
If{ "schema_version": "1.0.0", "languages": ["rust", "python"], "ecosystem": ["cargo", "uv"], "execution_cmd": "bash run_all.sh", "dry_run_cmd": "bash run_all.sh --dry-run", "expected_outputs": [ {"path": "results/metrics.csv", "required": true}, {"path": "results/checkpoint.pt", "required": false} ], "estimated_runtime": "~30 minutes" }execution_manifest.jsonexists, it takes precedence over YAML frontmatter fields. If it does not exist, fall back to the YAML frontmatter (backward compatibility). - If the frontmatter is missing or has no
execution_cmd: announce the problem to the user and ask them to provide the execution command manually. Do not guess. Suggest adding the frontmatter toresearch_plan.mdfollowing the schema above. - Verify
src/exists and contains at least one file.
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 · 275 lines · 0 tokens per session scan A 014dacabbdd8
research-execute is a skill published in the GitHub repository Axect/magi-researchers (13 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,370 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 2026-08-30.
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