Borrowing it
Nothing to install: this file belongs to sreenathvemula/finance-research-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sreenathvemula/finance-research-agent/main/.claude/skills/company-dossier/SKILL.mdgit clone --depth 1 https://github.com/sreenathvemula/finance-research-agentWrote 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/sreenathvemula/finance-research-agent/company-dossier)<a href="https://agentmods.dev/skills/sreenathvemula/finance-research-agent/company-dossier"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/company-dossier/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/sreenathvemula/finance-research-agent/company-dossier"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/company-dossier.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 | $0.00141 | $0.02018 |
| Opus 5 | $0.00071 | $0.01009 |
| Sonnet 5 | $0.00028 | $0.00404 |
| Haiku 4.5 | $0.00014 | $0.00202 |
Grade A, and why
company-dossier 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 10d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company dossier
A complete, evidence-based deep dive on one company that puts the user in a position to decide. This is decision-support: you rank, score and lay out evidence — you never issue a personalised buy/sell instruction or a fabricated price target as fact.
Consult the investing-principles skill for the quality checklist, the named quantitative scores (DuPont, Piotroski F, Altman Z'', Sloan accrual, Graham Number), valuation discipline, red-flag list and behavioural cautions — this dossier is where you apply all of it, not just the qualitative checklist. A dossier that skips the quantitative scores is a summary, not a dossier.
Procedure
-
Resolve & frame. If given a name, call
resolve_companyfor the symbol. Establish the anchor period fromfinancial_statements(quarterly_results)latest column — state it. Note company type (bank/NBFC vs non-financial) since it changes which checks below apply. -
Business & moat —
business_profile(what it does, revenue mix by product/geo/segment, operating KPIs, market share) +competitive_position(peer benchmarking, market-share trend). Apply a VRIO read on any claimed advantage (brand, distribution, cost position, licence/regulatory moat): is it Valuable, Rare, hard to Imitate, and is the Organisation actually capturing it in margins/returns — a "strength" that fails Imitability (any competitor could replicate it in 2-3 years) is weaker than one claimed. For raw-material/ customer/competitor colour not in local data,supply_chainthen WebSearch (credible domains only). Classify the industry cyclical / seasonal / secular (investing-principlespoint 14) — this frames how to read every growth/margin number in steps 3 onward — and note government/policy exposure: disclosed government-contract/PSU-customer share, licence or subsidy/PLI dependency, and any policy currently under review (point 13; stay sourced, never speculate about undisclosed political ties).
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.
- 10d ago First seen · 119 lines · 141 tokens per session scan A 95c305ead567
company-dossier is a skill published in the GitHub repository sreenathvemula/finance-research-agent (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 141 tokens to every session and 2,018 once invoked, about $0.0007 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 2026-08-31.
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