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 agentmods add skills/ducksss/codex-profiles/github-lead-qualificationnpx skills add Ducksss/codex-profiles --skill github-lead-qualificationgit clone --depth 1 https://github.com/Ducksss/codex-profilesWhat 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 | $0.00042 | $0.01164 |
| Opus 5 | $0.00021 | $0.00582 |
| Sonnet 5 | $0.00008 | $0.00233 |
| Haiku 4.5 | $0.00004 | $0.00116 |
Grade A, and why
github-lead-qualification 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 2d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Lead Qualification
Purpose
Decide whether GitHub lead-gen candidates are real fits for codex-profiles,
then update Airtable with evidence and a next phase. This skill consumes
Airtable targets whose Next Action = Run lead qualification.
Required Context
Read README.md for current product positioning, LAUNCH.md for policy gates,
and the selected Airtable target for live outreach state. Load
references/icp-rules.md before scoring.
Boundaries
- Update Airtable
Targetsand appendLogentries only. - Consume Airtable targets whose
Next Action = Run lead qualification. - Use
Log.Workflow = lead-qualificationfor every meaningful decision. - Assign exactly one of
ICP: yes,ICP: maybe, orICP: no. - Set
Priority,Status,Last Checked,Next Action, and evidence. - Do not discover new leads.
- Do not draft PRs, issues, comments, emails, DMs, forum posts, listing submissions, or maintainer replies.
- Do not contact externally.
Accepted Input
- Consume only
BacklogorDeferredtargets whoseNext Action = Run lead qualification. - Leave ready
ICP: yestargets asBacklogwithNext Action = Run closing draft; leave all other outcomes with a concrete recheck, blocker, or terminal next action. - Issue-first is a valid closing-draft route when the target is a truthful fit, requires an issue before a PR, and has no existing submission.
Tracker Protocol
Create a unique run-<UTC-timestamp>-<random-suffix> <run-id>, list candidate
rows, and inspect each selected row before claiming it:
node scripts/outreach-tracker.mjs list --json
node scripts/outreach-tracker.mjs list --status Backlog --json
node scripts/outreach-tracker.mjs list --status Deferred --json
node scripts/outreach-tracker.mjs get <key> --json
node scripts/outreach-tracker.mjs claim <key> --by <run-id>
If claim exits 3, skip the target without writing or contacting externally. After a successful claim, use a shell trap or equivalent finally cleanup to release on every exit path, including partial persistence or logging failure. After qualification, persist the decision and stable phase log:
What ships with it
2 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.
- 2d ago First seen · 106 lines · 42 tokens per session scan A 66df6960b31b
github-lead-qualification is a skill published in the GitHub repository Ducksss/codex-profiles (108 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 1,164 once invoked, about $0.0002 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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