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 orchidautomation/pluxx --skill general-researchgit clone --depth 1 https://github.com/orchidautomation/pluxxWrote 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/orchidautomation/pluxx/general-research)<a href="https://agentmods.dev/skills/orchidautomation/pluxx/general-research"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/general-research/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/orchidautomation/pluxx/general-research"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/general-research.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 | $0.00021 | $0.03120 |
| Opus 5 | $0.00010 | $0.01560 |
| Sonnet 5 | $0.00004 | $0.00624 |
| Haiku 4.5 | $0.00002 | $0.00312 |
Grade A, and why
general-research 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 8d 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 — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General Research
Handle broad search and query workflows when there is not a more specific product surface match.
Tools In This Skill
FindOrganizations
Find organizations using specific technologies.
Search by technology names and/or categories, or use
an advanced query string. At least one of technologies,
technology_categories, or query is required.
If results include URLs or links, always share them
with the user.
Costs 5 credits per result returned. If you need
entity details (job_post_count, people_count,
team_count, job_post_used_count, team_count_used),
set include_entity_details=True — this costs 5
credits per technology term instead. IMPORTANT:
Always ask the user for confirmation before using
include_entity_details=True, as it is significantly
more expensive.
If you get a 402 error, the user needs more credits.
Direct them to https://sumble.com/account/purchase
TECHNOLOGY CATEGORY SLUGS (commonly used):
crm, business-intelligence, cloud-data-warehouse,
data-catalog, gen-ai, mlops, ml-training,
cybersecurity, cloud-security, ci-cd, ipaas,
event-streaming, data-pipeline-orchestration, etl,
logging-observability-monitoring,
data-quality-and-observability,
customer-data-platform,
feature-flagging-and-a-b-testing,
vector-database, oss-data-science,
commercial-data-science,
infrastructure-as-code-tools, design,
javascript, siem, edr, headless-cms,
ccaas, endpoint-management, ecommerce-platform,
vibe-coding,
marketing-automation-platforms, frontier-ai-models,
processing-units-and-chips,
cloud-and-container-orchestration-platforms,
identity-and-access-management
ADVANCED QUERY SYNTAX (use `query` param):
Operators: EQ, NEQ, IN, NOT IN.
Combine with AND, OR. Group with parentheses.
Values are single-quoted. IN/NOT IN use
comma-separated values in parens.
Available fields:
- technology — EQ/IN/NOT IN. Use slugs from
search_technologies.
- technology_category — EQ/IN/NOT IN. Slugs
from the list above.
- organization — EQ only. Fuzzy name/URL match.
- industry — EQ/IN/NOT IN.
- employee_count — EQ/IN. Range format:
'100-1000', '1000-' (1000+), '-500' (up to 500).
- hq_location — EQ/IN/NEQ. Format:
'US', 'US:Texas', 'US:Texas:Austin'.
Use full state names, not abbreviations.
'UK' is auto-converted to 'GB'.
Region codes: EMEA, APAC, NAMER, LATAM,
Americas, Europe, MiddleEast, Africa.
- tag — EQ/IN (e.g. 'digital_native').
- sic_code — EQ (e.g. '7371').
- naics_code — EQ (e.g. '541511').
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.
- 8d ago First seen · 349 lines · 21 tokens per session scan A 60fbe4e137d6
general-research is a skill published in the GitHub repository orchidautomation/pluxx (5 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 3,120 once invoked, about $0.0001 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 2026-09-03.
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