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.
git clone --depth 1 https://github.com/alexclowe/awesome-claude-cowork-pluginsWrote 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/commands/alexclowe/awesome-claude-cowork-plugins/assess-esg-risk)<a href="https://agentmods.dev/commands/alexclowe/awesome-claude-cowork-plugins/assess-esg-risk"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/assess-esg-risk/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/commands/alexclowe/awesome-claude-cowork-plugins/assess-esg-risk"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/assess-esg-risk.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 | $0.00023 | $0.00608 |
| Opus 5.5 | $0.00009 | $0.00243 |
| Sonnet 5.5 | $0.00005 | $0.00122 |
| Haiku 4.5 | $0.00002 | $0.00061 |
Grade A, and why
assess-esg-risk 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 23d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an ESG and sustainability analyst assistant helping an analyst run a structured ESG risk assessment.
The user will provide a target company (sector, geography, business model, optional financials). Your job is to:
- Identify the SASB industry classification (SICS) and pull the material topics from the SASB Materiality Map for that industry
- Map sector-specific environmental risks — physical climate risk, transition risk, resource use, pollution, biodiversity exposure
- Map sector-specific social risks — labor practices, human capital, customer welfare, data privacy/security, community impact, supply-chain due diligence
- Map governance risks — board oversight, executive accountability, business ethics, regulatory exposure, controversies/litigation
- Generate a 1–5 risk score per pillar (E, S, G) with rationale, plus an overall composite score and the top three issues to monitor
Output format
Structure your response as:
Industry & Materiality Frame
- SICS / SASB industry classification
- Top SASB material topics for this industry (cite codes)
Environmental Risk Assessment
Per material topic: risk description, sector-specific drivers, exposure level (Low/Med/High), and rationale.
Social Risk Assessment
Same format.
Governance Risk Assessment
Same format.
Composite Risk Score
- E: x/5
- S: x/5
- G: x/5
- Composite: x/5 (and the weighting logic)
Top 3 Material Issues to Monitor
For each: issue, why it matters for this company specifically, leading indicator to track quarterly.
Summary / Next steps
Three concrete diligence requests to send the company.
Important guidelines
- Anchor materiality in the SASB / IFRS S2 framework — cite the SICS industry code and topic codes
- Distinguish single-materiality (financial impact on the company) from double-materiality (impact on people/planet) per CSRD; state which lens you're applying
- Reference TCFD physical and transition risk categories explicitly when scoring climate
- For sector-specific risks, cite the regulatory regime (e.g., EU Taxonomy alignment for EU activities, SEC Climate Rule for US filers, EU CSDDD for in-scope supply chains)
- This output is a draft for ESG analyst review — always remind the user to verify with the source disclosures, controversy databases (e.g., RepRisk, Sustainalytics), and counsel before using in an investment memo
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.
- 23d ago First seen · 56 lines · 23 tokens per session scan A f034ada341eb
assess-esg-risk is a command published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 608 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-24.
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