Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligencenpx agentmods add commands/agentii-ai/agentii-investment-intelligence/reverse-dcfWrote 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/agentii-ai/agentii-investment-intelligence/reverse-dcf)<a href="https://agentmods.dev/commands/agentii-ai/agentii-investment-intelligence/reverse-dcf"><img src="https://agentmods.dev/badge/commands/agentii-ai/agentii-investment-intelligence/reverse-dcf.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00147 |
| Opus 5 | $0.00008 | $0.00073 |
| Sonnet 5 | $0.00003 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
reverse-dcf 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 3d 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.
What it actually says
Workflow
- Validate ticker argument.
- Delegate to the
reverse-dcfskill bundled underquantitative-analysis. - Return the structured deliverable produced by the skill. Output written to
{ticker}/{YYYY-MM-DD_HHMM}_reverse-dcf_{affix}.md.
See Mode syntax for
--mode=/--modes=/--peers=invocation rules.
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.
- 3d ago First seen · 13 lines · 15 tokens per session scan A b283bdecd241
reverse-dcf is a command published in the GitHub repository agentii-ai/agentii-investment-intelligence (203 stars, last pushed 4d ago), licensed Apache-2.0. It adds 15 tokens to every session and 147 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 2026-09-05.
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