codex-profiles: Skill for Codex

.agents/skills/github-lead-gen/SKILL.md

github-lead-gen is a skill for Codex from Ducksss/codex-profiles. It costs 39 tokens per session (940 once invoked), scanned A, original, MIT.

A workflow for finding possible software-project leads on GitHub and recording them in Airtable, a shared online database.

In plain words
What is it for?
Use it to search for repository candidates, check them against existing Airtable targets, create or update shallow intake records, and hand accepted candidates to a later qualification step.
Why use it?
It keeps candidate discovery separate from qualification and outreach, while preventing duplicate records. It also preserves a brief reason for accepting each candidate.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is Ducksss/codex-profiles's own configuration. It tells Codex how to work on codex-profiles itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything codex-profiles configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/outreach-tracker.mjs list --json.

Reuse

Borrowing it

Nothing to install: this file belongs to Ducksss/codex-profiles. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Ducksss/codex-profiles/main/.agents/skills/github-lead-gen/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Ducksss/codex-profiles

Made for: Codex.

Wrote 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.

agentmods badge for github-lead-gen

README.md
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Your own site
<a href="https://agentmods.dev/skills/ducksss/codex-profiles/github-lead-gen"><img src="https://agentmods.dev/badge/skills/ducksss/codex-profiles/github-lead-gen/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.

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Your own site · 80×15
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Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 940 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00940
Opus 5.5 $0.00016 $0.00376
Sonnet 5.5 $0.00008 $0.00188
Haiku 4.5 $0.00004 $0.00094

Measured 2mo ago against content hash 95c7de076cfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-lead-gen 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 2mo 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.

.agents/skills/github-lead-gen/SKILL.md · 106 lines

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 Gen

Purpose

Find GitHub repository candidates for codex-profiles, dedupe them against the outreach tracker, and hand them off for later qualification. This skill only handles candidate discovery and shallow intake.

Required Context

Before searching, read current product positioning from README.md, policy gates from ops/outreach/launch.md, and live distribution state from the outreach tracker. Load references/search-patterns.md for approved search lanes and example queries.

Boundaries

  • Create or update tracker Targets only.
  • Dedupe against existing tracker targets before creating records.
  • Use Log.Workflow = github-lead-gen for every meaningful intake decision.
  • Set Next Action = Run lead qualification on every accepted candidate.
  • Record only a shallow candidate reason; do not assign final ICP.
  • Do not draft PRs, issues, comments, emails, DMs, forum posts, or listing submissions.
  • Do not contact externally.
  • Do not change ops/outreach/launch.md unless the user explicitly asks for a repo-local handoff.

Accepted Input

  • A new repository candidate with no matching tracker target, or an existing target that needs shallow lead-generation evidence refreshed.
  • Do not overwrite a qualified or submitted target's Status, ICP decision, or phase-specific Next Action.
  • Every accepted new target leaves this phase as Status = Backlog and Next Action = Run lead qualification.

Tracker Protocol

Create one unique run-<UTC-timestamp>-<random-suffix> value and use it as <run-id> for the whole invocation. Start with the complete ledger:

node scripts/outreach-tracker.mjs list --json

For an existing target, claim it before changing fields. For a new target, atomically create the shallow row first, then claim it before adding evidence or logging the handoff:

node scripts/outreach-tracker.mjs upsert <key> --name "<name>" \
  --channel "<channel>" --status Backlog \
  --next-action "Run lead qualification" --notes "<candidate reason and source>"
node scripts/outreach-tracker.mjs claim <key> --by <run-id>

Read the full file on GitHub · 106 lines

Files

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.

Changes

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.

  1. 2mo ago Changed · +2 lines 95c7de076cfc
  2. 2mo ago Changed · -1 tokens per session abcfef663fd3
  3. 2mo ago First seen · 104 lines · 40 tokens per session scan A 7e5675e1bb53

Subscribe to this mod's changes

github-lead-gen is a skill published in the GitHub repository Ducksss/codex-profiles (193 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 940 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 2026-08-30.

Related

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