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 Immortalqx/my_codex_skills --skill research-survey-loopgit clone --depth 1 https://github.com/Immortalqx/my_codex_skillsWrote 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/immortalqx/my_codex_skills/research-survey-loop)<a href="https://agentmods.dev/skills/immortalqx/my_codex_skills/research-survey-loop"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/research-survey-loop/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/immortalqx/my_codex_skills/research-survey-loop"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/research-survey-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00132 | $0.01751 |
| Opus 5 | $0.00066 | $0.00875 |
| Sonnet 5 | $0.00026 | $0.00350 |
| Haiku 4.5 | $0.00013 | $0.00175 |
Grade A, and why
research-survey-loop 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 10d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Survey Loop
Survey topic: $ARGUMENTS
Overview
Use this skill for long-running survey work with a primary focus on robotics, embodied AI, computer vision, world models, spatial intelligence, navigation, manipulation, and 3D perception.
The workflow can extend to adjacent computer science topics, but the bundled search priorities, venue choices, and writing templates are optimized for robotics and embodied AI communities rather than for all research domains equally.
The default working style is:
- Create or resume one task directory under
survey_tasks/<topic-slug>/ - Keep
task.mdstable unless the user explicitly changes the task itself - Append
round_log.mdevery round - Rewrite
current_task.mdevery round so the next unattended run has a precise entry point - Grow one long
survey.mdby category paragraphs rather than per-paper cards - Move task-absorbed local PDFs out of the root
papers/pool into the task's ownsources/papers/
This skill is academic-first. Only include industry_report/ when the user explicitly wants industry or market material mixed into the survey.
Directory Contract
Every survey task lives under:
survey_tasks/<topic-slug>/
task.md
round_log.md
current_task.md
survey.md
sources/
papers/
supplementary/
Rules:
- Treat the root
papers/directory as an unsorted staging pool, not as the long-term citation location. - Once a local PDF is truly used by a task, move it into that task's
sources/papers/. - If another task later needs the same paper, copy it from the first task's
sources/papers/into the new task instead of pointing back to the old path. - Use relative local links from
survey.md, such as./sources/papers/example.pdf. - If a source cannot be downloaded locally, cite the canonical web URL instead.
Required Resources
Read these bundled files before acting:
references/source-priority.mdfor the fixed search order and venue prioritiesreferences/writing-rules.mdfor reading depth, citation format, migration rules, and round-closing discipline
What ships with it
10 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.
- agents/openai.yaml 266 B
- assets/current-task-template.md 1.3 KB
- assets/round-log-template.md 921 B
- assets/survey-template.md 880 B
- assets/task-template.md 2.5 KB
- references/source-priority.md 2.3 KB
- references/writing-rules.md 2.7 KB
- scripts/extract_pdf_chunk.py 4.1 KB runs code
- scripts/fetch_sources.py 19 KB runs code
- scripts/init_task.py 4.4 KB runs code
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.
- 10d ago First seen · 202 lines · 132 tokens per session scan A 5c911a145bc6
research-survey-loop is a skill published in the GitHub repository Immortalqx/my_codex_skills (52 stars, last pushed 1mo ago), licensed MIT. It adds 132 tokens to every session and 1,751 once invoked, about $0.0007 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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