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 yeaight7/agent-powerups --skill readme-hardeninggit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/yeaight7/agent-powerups/readme-hardening)<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/readme-hardening"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/readme-hardening/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/yeaight7/agent-powerups/readme-hardening"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/readme-hardening.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 | $0.00042 | $0.00705 |
| Opus 5.5 | $0.00017 | $0.00282 |
| Sonnet 5.5 | $0.00008 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
readme-hardening 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 1mo 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
A good README is an executable contract, not a marketing page. It must allow an agent or a new engineer to clone the repository and run tests within 3 minutes.
When to Use
- Onboarding feedback says setup instructions fail or are ambiguous
- The project's scripts, dependencies, or env requirements changed
- Before publishing the repo or handing it to another team or agent
Inputs
- The current README and the repo it claims to describe
- The actual scripts and tooling (package manifest, Makefile, CI config)
Workflow
-
Verify commands. Extract every shell command from the README (npm install, docker-compose up, cargo test) and check each against repo evidence — then run them in a clean environment where possible. If they fail, fix the README:
rg -n "^( {4}|\t)\S|^\$ " README.md # command lines in the README rg -n "\"scripts\"" -A 20 package.json # do documented npm scripts exist? -
Remove ambiguity. Replace "Install dependencies" with the exact command (npm ci). Replace "Run the app" with the exact script (npm run start:dev).
-
Environment checklist. Clearly list required environment variables in an env-example block — do not just say "set up your environment." Cross-check against what the code actually reads:
rg -no "process\.env\.[A-Z0-9_]+" src/ | sort -u -
Architecture pointers. Provide exact file paths for entry points (e.g., "Main API routing is in src/routes.ts") to save agents from searching the entire tree.
-
Cover the minimum outline — confirm each section exists and is accurate:
# Project name + one-line purpose ## Install # exact commands ## Run # exact commands, expected output ## Test # exact commands ## Configuration # env vars with example values ## Architecture # entry points by path ## Troubleshooting # the 2-3 most common failures and their fixes
Output
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.
- 1mo ago First seen · 72 lines · 42 tokens per session scan A 9db0de708fe8
readme-hardening is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 19d ago), licensed Apache-2.0. It adds 42 tokens to every session and 705 once invoked, about $0.0002 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 2026-09-14.
Other skills, from other repositories
github-issues
Create, triage, label, assign GitHub issues via gh or REST.
github
Use the GitHub CLI (gh) to inspect and manage repositories, pull requests, issues, workflows, releases, and API calls from the terminal. Use when a user asks to use gh/GitHub CLI, run GitHub repo or PR workflows, automate GitHub Actions from shell, or troubleshoot gh authentication and configuration.
pipeline-conductor
Operating procedure for the kirocrew-pipeline-conductor agent. Use when a pipeline conductor session is seeded, inspected or debugged. You MANAGE one issue/PR pipeline on one repo: two columns per item (session working? item solved?), send intent, never re-derive a red yourself.
babysit
Use when a user asks to babysit, monitor, keep checking, keep an eye on, or report when a pull request, CI run, ticket, deployment, or other changing target reaches an outcome.
goal-loop
Bootstrap a goal-driven self-improving AutoNudge loop from a goal plus an anchor directory, then run the board autonomously until the Definition of Done is met.
goal-ledger-conductor
Deprecated alias of goal-conductor, removed next release. The work-ledger conducting procedure now lives in goal-conductor; read that skill instead.