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 GuitarAlchemist/ga --skill chatbot-qa-roundtrip-validategit clone --depth 1 https://github.com/GuitarAlchemist/gaWrote 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/guitaralchemist/ga/chatbot-qa-roundtrip-validate)<a href="https://agentmods.dev/skills/guitaralchemist/ga/chatbot-qa-roundtrip-validate"><img src="https://agentmods.dev/badge/skills/guitaralchemist/ga/chatbot-qa-roundtrip-validate/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/guitaralchemist/ga/chatbot-qa-roundtrip-validate"><img src="https://agentmods.dev/badge/skills/guitaralchemist/ga/chatbot-qa-roundtrip-validate.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 | $0.00098 | $0.01531 |
| Opus 5 | $0.00049 | $0.00766 |
| Sonnet 5 | $0.00020 | $0.00306 |
| Haiku 4.5 | $0.00010 | $0.00153 |
Grade A, and why
Chatbot QA Roundtrip Validate 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 9d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/chatbot-qa-roundtrip-validate
The contract the chatbot /auto-optimize loop calls before every commit.
Returns pass / reject per the v2 plan's Harness-Engine rollback wiring.
This skill is intentionally read-only — it runs the oracle, checks the
diff, and returns a verdict. It never edits code, never touches the
oracle, never modifies the baseline. That's /auto-optimize's job to
react to (revert if reject, commit if pass).
Inputs
| Input | Source |
|---|---|
before_metric |
pass_pct from the previous oracle run (loop history tail) |
after_metric |
pass_pct from the oracle run just performed |
diff_paths |
git diff --name-only HEAD — what the proposed edit changed |
baseline_path |
state/quality/chatbot-qa/baseline.json (for gates) |
In practice the loop passes the first three as values; the skill loads the baseline itself.
Verdict rubric
The skill returns pass if all four conditions hold; reject
otherwise. Reject diagnostics include the failing condition by name so
the loop can record a learning rather than just retry.
1. Metric did not regress
after_metric - before_metric >= -regression_threshold
where regression_threshold defaults to 0.02 per the baseline's
_harness.rollback_metadata.regression_threshold field. A drop equal
to or smaller than the threshold is tolerated as noise; anything
larger is a reject (metric_regression).
2. Canonical-trace gate did not break
pwsh Scripts/compare-trace-to-canonical.ps1 -Sweep
# exit 0 = matched; exit 1 = at least one signature regression
If the sweep exits non-zero, reject with trace_shape_regression.
The full diagnostic from the sweep is captured into the loop history.
3. No protected path modified
$baseline = Get-Content state/quality/chatbot-qa/baseline.json -Raw | ConvertFrom-Json
$protected = $baseline.scope_boundary.protected
$changed = git diff --name-only HEAD
foreach ($p in $changed) {
foreach ($glob in $protected) {
if ($p -like $glob) {
return @{ verdict = 'reject'; reason = 'protected_path_modified'; path = $p; glob = $glob }
}
}
}
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.
- 9d ago First seen · 145 lines · 98 tokens per session scan A 59fc364bab5d
Chatbot QA Roundtrip Validate is a skill published in the GitHub repository GuitarAlchemist/ga (2 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 1,531 once invoked, about $0.0005 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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