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 AndrewNgGirl/SkillLens --skill mega-pipelinegit clone --depth 1 https://github.com/AndrewNgGirl/SkillLensWrote 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/andrewnggirl/skilllens/mega-pipeline)<a href="https://agentmods.dev/skills/andrewnggirl/skilllens/mega-pipeline"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/mega-pipeline/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/andrewnggirl/skilllens/mega-pipeline"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/mega-pipeline.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 | $0.00050 | $0.00090 |
| Opus 5 | $0.00025 | $0.00045 |
| Sonnet 5 | $0.00010 | $0.00018 |
| Haiku 4.5 | $0.00005 | $0.00009 |
Grade A, and why
mega-pipeline 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
Mega PR Review Pipeline
Orchestrator for 50+ domain-specialist review sub-agents.
What ships with it
53 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.
- agents/a11y/SKILL.md 275 B
- agents/api/SKILL.md 269 B
- agents/async/SKILL.md 281 B
- agents/audit/SKILL.md 281 B
- agents/authn/SKILL.md 281 B
- agents/authz/SKILL.md 281 B
- agents/backend/SKILL.md 293 B
- agents/caching/SKILL.md 293 B
- agents/circuit/SKILL.md 293 B
- agents/complexity/SKILL.md 311 B
- agents/compliance/SKILL.md 311 B
- agents/config/SKILL.md 287 B
- agents/cors/SKILL.md 275 B
- agents/coverage/SKILL.md 299 B
- agents/crypto/SKILL.md 287 B
- agents/csrf/SKILL.md 275 B
- agents/deps/SKILL.md 275 B
- agents/docs/SKILL.md 275 B
- agents/env/SKILL.md 269 B
- agents/events/SKILL.md 287 B
- agents/frontend/SKILL.md 299 B
- agents/gdpr/SKILL.md 275 B
- agents/headers/SKILL.md 293 B
- agents/i18n/SKILL.md 275 B
- agents/idor/SKILL.md 275 B
- agents/imports/SKILL.md 293 B
- agents/infra/SKILL.md 281 B
- agents/licensing/SKILL.md 305 B
- agents/logging/SKILL.md 293 B
- agents/memory/SKILL.md 287 B
- agents/metrics/SKILL.md 293 B
- agents/migration/SKILL.md 305 B
- agents/naming/SKILL.md 287 B
- agents/observability/SKILL.md 329 B
- agents/perf/SKILL.md 275 B
- agents/privacy/SKILL.md 293 B
- agents/ratelimit/SKILL.md 305 B
- agents/rbac/SKILL.md 275 B
- agents/retries/SKILL.md 293 B
- agents/schema/SKILL.md 287 B
- agents/secrets/SKILL.md 293 B
- agents/security/SKILL.md 299 B
- agents/serialization/SKILL.md 329 B
- agents/sql/SKILL.md 269 B
- agents/sqli/SKILL.md 275 B
- agents/streaming/SKILL.md 305 B
- agents/style/SKILL.md 281 B
- agents/tests/SKILL.md 281 B
- agents/threading/SKILL.md 305 B
- agents/timeout/SKILL.md 293 B
- agents/tracing/SKILL.md 293 B
- agents/typing/SKILL.md 287 B
- agents/xss/SKILL.md 269 B
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 · 11 lines · 50 tokens per session scan A 704624622243
mega-pipeline is a skill published in the GitHub repository AndrewNgGirl/SkillLens (75 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 90 once invoked, about $0.0003 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 2026-08-30.
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sdd-apply
Skill "sdd-apply" from Gentleman-Programming/gentle-ai, covering execution role, language domain contract, purpose, what you receive and execution and persistence contract.
gentle-ai-collab-perfect
Trigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the…
issue-creation
Trigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.
sdd-tasks
Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.
sdd-verify
Skill "sdd-verify" from Gentleman-Programming/gentle-ai, covering execution role, language domain contract, activation contract, hard rules and decision gates.
sdd-spec
Write SDD delta specs with requirements and scenarios. Trigger: orchestrator launches spec work for a change.