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 manishiitg/coding-agent-loop --skill browser-test-self-healinggit clone --depth 1 https://github.com/manishiitg/coding-agent-loopWrote 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/manishiitg/coding-agent-loop/browser-test-self-healing)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/browser-test-self-healing"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/browser-test-self-healing/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/manishiitg/coding-agent-loop/browser-test-self-healing"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/browser-test-self-healing.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 | $0.00054 | $0.00748 |
| Opus 5.5 | $0.00022 | $0.00299 |
| Sonnet 5.5 | $0.00011 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
browser-test-self-healing 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser Test Self-Healing
Outcome
Create an auditable workflow that classifies a browser-test failure, proposes an eligible test-only repair, verifies it in isolation, obtains configured review, applies the exact approved change, and reruns canonical tests.
When to use
Use for stale or flaky browser automation backed by an existing Browser QA foundation and preserved failure evidence. Product defects, environment blockers, uncertain behavior, and requested product changes remain outside automated healing.
Discovery and user direction
Inspect the current workflow, goals, metrics, configuration, capabilities, stores, reports, and triggers before proposing changes. Summarize reusable design and gaps, then ask focused questions for unresolved customer choices such as scope, success, approvals, thresholds, ownership, and budgets. Record the answers as customer direction. Installation alone does not approve workflow changes or execution. Default to one small-team workflow; split only for incompatible access or lifecycle boundaries.
Required inputs
Resolve the foundation and application knowledge, original finding and evidence, canonical test source and base revision, allowed test/config paths, affected journeys, approval policy, recording retention, and optional publication destination.
Plan and AgentWorks tools
Use a preparation route to diagnose, propose, verify in isolation, persist pending_review, and end without changing canonical tests. A separate apply route validates the later decision, exact patch, and current base before applying once and rerunning canonical tests. Use a blocking human branch only for an explicitly attended run.
Knowledge and persistence
Preserve the original finding, every candidate, verification attempt, decision, applied revision, and video, console/network, screenshot, or trace reference in durable tables/assets. Update knowledgebase notes only with verified application facts after canonical success; keep executable locators in shared test helpers.
What ships with it
5 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.
- 1mo ago First seen · 54 lines · 54 tokens per session scan A e796b8505f05
browser-test-self-healing is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 54 tokens to every session and 748 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.
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