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/ghaida/intentWrote 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/rules/ghaida/intent/fortify)<a href="https://agentmods.dev/rules/ghaida/intent/fortify"><img src="https://agentmods.dev/badge/rules/ghaida/intent/fortify/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/rules/ghaida/intent/fortify"><img src="https://agentmods.dev/badge/rules/ghaida/intent/fortify.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 | $0.04617 | $0.04617 |
| Opus 5.5 | $0.01847 | $0.01847 |
| Sonnet 5.5 | $0.00923 | $0.00923 |
| Haiku 4.5 | $0.00462 | $0.00462 |
Grade A, and why
fortify 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 7d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fortify — Harden for Real-World Use
Overview
The happy path is a fantasy. Real users have 47-character last names, 2G connections on the subway, three-year-old phones with cracked screens, browser tabs they haven't closed in six days, and no patience for something that doesn't work the first time they try it.
Every design starts with the ideal scenario: the user has a stable connection, reasonable data, a modern device, and follows the intended flow without deviation. That scenario accounts for maybe 60% of actual usage. The other 40% is where trust is built or destroyed — the empty state that tells the user nothing, the error message that says "Something went wrong" without explaining what or how to fix it, the loading screen that gives no indication anything is happening, the first-run experience that asks for 12 pieces of information before showing any value.
Fortify systematically identifies every condition your users will actually encounter and ensures the design handles each one with the same care you gave the happy path. This isn't about pessimism — it's about respect for the people using what you build.
When to activate this skill: Edge case reviews, error state design, empty state design, loading pattern design, first-run experience design, offline mode planning, internationalization readiness checks, stress testing, or any moment someone asks "but what happens when..."
Skill family
Fortify works alongside the full Intent skill system, with especially tight connections to skills that define the paths you stress-test:
-
/journey— Their flows define the happy path; you stress-test everything else. Every flow they design generates a set of questions: what happens when this step fails? What if the user abandons midway and returns? What if data from step 2 isn't available at step 4? Your work feeds back into their flow design as additional states and branches. -
/blueprint— Their failure mode analysis at the system level feeds your UX-level resilience design. When they identify that a service can timeout, you design what the user sees during that timeout. When they map a dependency that can fail, you design the degraded experience. System-level failure modes become UX-level state designs.
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.
- 7d ago Changed · -19 tokens per session 29a813773c0f
- 1mo ago First seen · 244 lines · 4,636 tokens per session scan A 506ff9566bab
fortify is a cursor rule published in the GitHub repository ghaida/intent (214 stars, last pushed 7d ago), licensed CC0-1.0. It adds 4,617 tokens to every session, about $0.0185 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 2026-08-30.
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