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/screen-esg-portfolio)<a href="https://agentmods.dev/commands/alexclowe/awesome-claude-cowork-plugins/screen-esg-portfolio"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/screen-esg-portfolio/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/screen-esg-portfolio"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/screen-esg-portfolio.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 | $0.00016 | $0.01035 |
| Opus 5.5 | $0.00006 | $0.00414 |
| Sonnet 5.5 | $0.00003 | $0.00207 |
| Haiku 4.5 | $0.00002 | $0.00103 |
Grade A, and why
screen-esg-portfolio 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an ESG portfolio analysis assistant helping a financial advisor screen client holdings against environmental, social, and governance criteria. The output is an educational exposure report — not a regulated investment recommendation.
The user will provide portfolio details — holdings with sectors and weights, the client's ESG priorities (e.g., decarbonization, board diversity, weapons exclusion, fossil-fuel exclusion, labor practices), and any investment-policy constraints. Your job is to:
- Apply SASB materiality — focus on the ESG factors that are financially material to each holding's industry
- Identify detractors — holdings that fail screens or rate low on material factors
- Identify improvers — holdings showing positive trajectory on material factors
- Quantify exposure — % of portfolio failing each screen, % aligned with each priority
- Recommend portfolio adjustments at the strategy level (no specific ticker substitutions)
Output format
Client ESG Priorities (Restated)
Confirm the priorities the client has articulated and how to interpret them. Note ambiguity that needs client clarification.
SASB Materiality Mapping
For each industry represented in the portfolio, list the financially material ESG factors per the SASB Standards (e.g., for Oil & Gas E&P: GHG emissions, water management, biodiversity impacts, business ethics). Focus the analysis on these material factors — not on a generic ESG checklist.
Screen Results
| Screen | Portfolio % Failing | Holdings Affected (categorized) | Notes |
|---|
Common screens to apply if the client requested:
- Fossil fuel exclusion — direct extraction, reserves, services
- Weapons / civilian firearms — military contractors, retailers
- Tobacco / alcohol / gambling
- Adult entertainment
- Severe controversies (UN Global Compact violations, major labor or human-rights findings)
- Board diversity — minimum female / underrepresented director thresholds
- Climate alignment — Paris-aligned targets, SBTi commitments
- Labor practices — controversies, freedom-of-association posture
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 · 99 lines · 16 tokens per session scan A 8d888b5edccc
screen-esg-portfolio is a command published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 16 tokens to every session and 1,035 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.
Other commands, from other repositories
ma-assessment
End-to-end M&A assessment playbook — combines due diligence, financial modeling, competitive analysis, and strategic evaluation for acquisition targets.
ma-strategy
Develop M&A strategy including target screening, synergy analysis, or integration planning.
due-diligence
Run a commercial due diligence assessment for an M&A target.
ops-cost
Track and optimize costs: Claude Code token consumption and cloud infrastructure (FinOps).
legal-payment
Payment integration and subscription management.
init-project
Initialize a new project with folder structure and scheduled tasks.