Borrowing it
Nothing to install: this file belongs to zuharz/ccode-to-codex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zuharz/ccode-to-codex/main/.codex/skills/migration-dashboard/SKILL.mdgit clone --depth 1 https://github.com/zuharz/ccode-to-codexWrote 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/zuharz/ccode-to-codex/migration-dashboard)<a href="https://agentmods.dev/skills/zuharz/ccode-to-codex/migration-dashboard"><img src="https://agentmods.dev/badge/skills/zuharz/ccode-to-codex/migration-dashboard.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 97 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00068 | $0.03058 |
| Opus 5 | $0.00034 | $0.01529 |
| Sonnet 5 | $0.00014 | $0.00612 |
| Haiku 4.5 | $0.00007 | $0.00306 |
Grade A, and why
migration-dashboard 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 8d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Migration Dashboard
Purpose: Answer "where are we, what drifted, what should be migrated next, and when should nativeness review take over?" from the tracker plus live repo state.
Conversation-First Entry
Bare dashboard requests should open with intent routing, not raw flags. Follow
the shared contract at
../migrate-to-codex/references/conversational-migration-contract.md.
Default menu for underspecified requests:
- Status
- What should I migrate next?
- Review nativeness backlog
- Show unreviewed migrated artifacts
- Show migrated agents needing nativeness review
- Show migrated skills needing nativeness review
- Validate migrated artifacts
- Refresh tracker and show status
Routing rules:
- If the user already says
what next,review nativeness,unreviewed migrated artifacts,agents needing nativeness review,skills needing nativeness review,validate migrations, orrefresh, route directly. - In Plan mode, use
request_user_inputonly for the action choice. - Outside Plan mode, render the same menu as numbered text.
- Require explicit confirmation before
--refreshbecause it writes the tracker file. - After any non-empty nativeness queue, stay inside that queue subtree and
prompt for
review next,review <number>,review <name>, orback. - Bare numbers are reserved for the root dashboard menu; queue picks must use
the
review ...prefix.
Advanced CLI
- Canonical front door:
python3 .codex/skills/migration-dashboard/scripts/analyze_migration.py python3 .codex/skills/migration-dashboard/scripts/analyze_migration.pypython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --planpython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --review-backlogpython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --unreviewed --jsonpython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --agent-nativenesspython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --skill-nativenesspython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --validate --jsonpython3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --refresh --json- Power-user raw analyzer:
python3 .codex/skills/migration-dashboard/scripts/analyze_migration.py --json
What ships with it
1 file 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.
- 8d ago First seen · 283 lines · 68 tokens per session scan A caf46d68531b
migration-dashboard is a skill published in the GitHub repository zuharz/ccode-to-codex (70 stars, last pushed 18d ago), licensed MIT. It adds 68 tokens to every session and 3,058 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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