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 arunbalajiraju-proc/procurement-ai-assistant --skill market-research-skillgit clone --depth 1 https://github.com/arunbalajiraju-proc/procurement-ai-assistantWrote 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/arunbalajiraju-proc/procurement-ai-assistant/market-research-skill)<a href="https://agentmods.dev/skills/arunbalajiraju-proc/procurement-ai-assistant/market-research-skill"><img src="https://agentmods.dev/badge/skills/arunbalajiraju-proc/procurement-ai-assistant/market-research-skill/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/arunbalajiraju-proc/procurement-ai-assistant/market-research-skill"><img src="https://agentmods.dev/badge/skills/arunbalajiraju-proc/procurement-ai-assistant/market-research-skill.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 | $0.00035 | $0.03032 |
| Opus 5 | $0.00017 | $0.01516 |
| Sonnet 5 | $0.00007 | $0.00606 |
| Haiku 4.5 | $0.00003 | $0.00303 |
Grade A, and why
market-research-skill 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 12d 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 — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Name
Procurement Market Research Skill
Purpose
This skill helps AI support procurement market research through a structured, repeatable workflow.
Use this skill when a procurement professional needs to understand a supplier market, identify potential suppliers, compare capabilities, flag market and supplier risks, and prepare a human-reviewable market research output.
This skill should not produce a random vendor list. It should organize supplier and market research in a way that supports procurement judgment, sourcing strategy, and defensible decision preparation.
This skill does not qualify suppliers, make shortlist decisions, recommend awards, or replace procurement review.
Composability
This skill is standalone. If other Procurement AI Assistant skills are installed, the AI may combine relevant skills for a multi-step procurement request. Do not assume another skill is available; preserve this skill's own guardrails and human review points.
Core Principle
Market research is not a one-shot search.
It is a loop:
Define -> Search -> Read -> Compare -> Gap Check -> Search Again -> Validate -> Summarize
The goal is to help procurement move from fragmented internet searching to structured supplier intelligence.
When to Use
Use this skill when the user needs help with:
- Supplier market research
- Vendor longlist development
- Market scan preparation
- Supplier capability comparison
- Category research
- Sourcing strategy input
- New supplier discovery
- Existing supplier landscape review
- Public-sector or private-sector sourcing preparation
- RFI or RFP planning
- Competitive landscape review
- Market risk identification
- Pricing model research
- Supplier ecosystem mapping
- Incumbent alternative research
Do Not Use This Skill For
Do not use this skill to:
- Make final supplier selection decisions
- Confirm that a supplier is qualified without evidence
- Score suppliers in an active procurement evaluation
- Replace formal due diligence
- Replace legal, privacy, security, accessibility, or financial review
- Produce supplier claims without validation
- Recommend a procurement award
- Communicate directly with suppliers without human approval
What ships with it
1 file 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.
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.
- 12d ago First seen · 495 lines · 35 tokens per session scan A c1834856bac1
market-research-skill is a skill published in the GitHub repository arunbalajiraju-proc/procurement-ai-assistant (13 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 3,032 once invoked, about $0.0002 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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