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 robertbarclayy/conducty --skill conducty-reviewgit clone --depth 1 https://github.com/robertbarclayy/conductyWrote 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/robertbarclayy/conducty/conducty-review)<a href="https://agentmods.dev/skills/robertbarclayy/conducty/conducty-review"><img src="https://agentmods.dev/badge/skills/robertbarclayy/conducty/conducty-review/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/robertbarclayy/conducty/conducty-review"><img src="https://agentmods.dev/badge/skills/robertbarclayy/conducty/conducty-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.01432 |
| Opus 5 | $0.00034 | $0.00716 |
| Sonnet 5 | $0.00013 | $0.00286 |
| Haiku 4.5 | $0.00007 | $0.00143 |
Grade A, and why
conducty-review 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducty Review — End-of-Plan Audit
Systematically review all executed prompts from the active plan, verify results with evidence, extract failure patterns for the learning system, and prepare intelligent carry-forward for the next plan.
Workflow
Step 1: Load the Plan
Read the active plan note from the vault (Plans/Plan YYYY-MM-DD HHmm [Topic].md — see [[conducty-obsidian]]). If the user is reviewing a different plan, ask which one and resolve the wikilink.
Parse the prompt queue to identify all prompts and their current status.
Step 2: Identify What Needs Review
- Completed (from checkpoint): Already verified — confirm the checkpoint evidence is in the notes
- Needs-fix with pending fixes: Check if the fix was applied
- Unchecked: Not executed — skip, note as carry-forward
- Already reviewed: Skip unless user requests re-review
Focus on prompts that completed since the last checkpoint or were fixed after checkpoint feedback.
Step 3: Review Each Prompt
For each prompt needing review:
- Check checkpoint evidence — if the prompt passed checkpoint, confirm the evidence is recorded
- If no checkpoint evidence: Run [[conducty-verify]] at the prompt's review level
- Check for unintended changes —
git diff/git status(Bash) in the prompt's directory. Any files changed that weren't in the expected outcome? - Confirm intent was met — does the actual change match the goal's design, not just the prompt's letter?
Step 4: Record Verdicts
For each prompt, record a verdict:
- completed — changes verified, intent met, no issues
- needs-fix — issues found, can be retried (increment Retries)
- partial — some parts done, rest needs follow-up
- failed — didn't produce useful results, needs rethinking
- blocked — exceeded retries or needs manual intervention
Retry handling for needs-fix:
- Check Retries count
- If Retries < 3: invoke [[conducty-debug]] to determine leverage point, generate fix prompt
- If Retries >= 3: set to
blockedwith full history of attempts
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 · 147 lines · 67 tokens per session scan A 6268736d2583
conducty-review is a skill published in the GitHub repository robertbarclayy/conducty (176 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 1,432 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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