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.
npx skills add paruff/uFawkesAI --skill e2e-happy-pathgit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/e2e-happy-path)<a href="https://agentmods.dev/skills/paruff/ufawkesai/e2e-happy-path"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/e2e-happy-path/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/paruff/ufawkesai/e2e-happy-path"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/e2e-happy-path.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 | $0.00044 | $0.00593 |
| Opus 5 | $0.00022 | $0.00296 |
| Sonnet 5 | $0.00009 | $0.00119 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
e2e-happy-path 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.
What it actually says
Skill: E2E Happy Path Testing
Load trigger:
"load e2e-happy-path skill"> DORA: Cap 4 (CI/CD Automation) + Cap 5 (Operational Resilience) Token cost: Low
Purpose
Validate the full pipeline success path from commit to deployment.
Responsibilities
- Trigger a full CI pipeline run
- Validate build artifacts (image, SBOM, signature)
- Validate GitOps update
- Validate reconciliation
- Validate deployment
- Run smoke tests
Inputs
- Full system
version.json- GitOps repo
Outputs
e2e-happy.jsonscreenshots/videos/
Sub-Skills
| Skill | Purpose |
|---|---|
e2e-happy-path/pipeline-execution |
Validate CI pipeline stages |
e2e-happy-path/smoke-tests |
Validate deployed application |
Happy Path Flow
1. Code commit triggers CI
2. CI: type-check, lint, SAST, build, test
3. CI: publish artifacts (image, SBOM, signature)
4. OBS: update GitOps repo
5. Controller: reconcile manifests
6. K8s: deploy application
7. Smoke tests: validate health
Validation Rules
- Full pipeline success
- All artifacts produced
- GitOps update valid
- Reconciliation successful
- Deployment healthy
- Smoke tests pass
Output Format
{
"skill": "e2e-happy-path",
"status": "pass | fail",
"pipeline": { "status": "pass", "time_s": 300 },
"artifacts": { "image": "pass", "sbom": "pass", "signature": "pass" },
"gitops_update": { "status": "pass", "commit": "abc123" },
"reconciliation": { "status": "pass", "time_s": 60 },
"deployment": { "status": "pass", "replicas": 3 },
"smoke_tests": { "status": "pass", "tests": 10 }
}
Success Criteria
- Full pipeline success
- Healthy deployment
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 88 lines · 44 tokens per session scan A f7445b769929
e2e-happy-path is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 17d ago), licensed MIT. It adds 44 tokens to every session and 593 once invoked, about $0.0002 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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