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 hiring-signalsgit 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/hiring-signals)<a href="https://agentmods.dev/skills/orchidautomation/pluxx/hiring-signals"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/hiring-signals/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/hiring-signals"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/hiring-signals.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 | $0.00019 | $0.01355 |
| Opus 5 | $0.00010 | $0.00678 |
| Sonnet 5 | $0.00004 | $0.00271 |
| Haiku 4.5 | $0.00002 | $0.00136 |
Grade A, and why
hiring-signals 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hiring Signals
Use hiring activity and open roles as timing signals for outreach and research.
Tools In This Skill
FindJobs
Find job listings matching a query.
The `query` param supports a full filter language
and lets you compose complex searches in ONE call
(e.g. jobs in a user's org list matching specific
technologies and job functions).
Returns job posts with titles, organizations,
locations, technologies, job functions, teams,
projects, and URLs. Does not include job
descriptions by default. Use GetJobDescription
to get the full description for a specific job.
If results include URLs or links, always share them
with the user.
Costs 2 credits per job returned. If you get a 402
error, the user needs more credits. Direct them to
https://sumble.com/account/purchase
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:
ORGANIZATION / SCOPE FIELDS — filter which orgs
to search jobs within:
- organizations_list — EQ/IN. Restrict to a
user's saved org list by numeric list ID.
Use ListOrganizationLists to get IDs first.
Use 'default' for the user's default list.
Example: organizations_list EQ '42'
- organization — EQ only. Fuzzy org name/URL.
- industry — EQ/IN/NOT IN.
- employee_count — EQ/IN. Range format:
'100-1000', '1000-' (1000+), '-500'.
- hq_location — EQ/IN/NEQ. Format:
'US', 'US:Texas', 'US:Texas:Austin'.
Region codes: EMEA, APAC, NAMER, LATAM.
- tag — EQ/IN (e.g. 'digital_native').
JOB FIELDS — filter which jobs to return:
- technology — EQ/IN/NOT IN. Use slugs from
SearchTechnologies.
- technology_category — EQ/IN/NOT IN (e.g.
'gen-ai', 'mlops', 'cybersecurity').
- project — EQ/IN. Filter by project slug.
Example: project IN ('cloud-migration',
'gen-ai-initiative')
- job_function — EQ/IN/NOT IN (e.g.
'Machine Learning', 'Data Scientist',
'Engineer', 'Product Manager').
- job_level — EQ/IN/NOT IN (e.g.
'Senior', 'Manager', 'VP', 'Director').
- country — EQ/IN/NOT IN. Format:
'US', 'US:California',
'US:California:San Francisco'.
Use full state names, not abbreviations.
'UK' is auto-converted to 'GB'.
- hiring_period — EQ ONLY (not IN/NOT IN).
Values: '2wk', '1mo', '3mo', '6mo',
'1yr', '18mo', '2yr'.
- NOTE: job_title and job_description are NOT
available as filters. Use job_function and
job_level.
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 · 168 lines · 19 tokens per session scan A 940e707da86a
hiring-signals is a skill published in the GitHub repository orchidautomation/pluxx (5 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 1,355 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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