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 dayfinggg/openai-codex-agent-skills --skill roadmapgit clone --depth 1 https://github.com/dayfinggg/openai-codex-agent-skillsWrote 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/dayfinggg/openai-codex-agent-skills/roadmap)<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/roadmap"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/roadmap/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/dayfinggg/openai-codex-agent-skills/roadmap"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/roadmap.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 | $0.00051 | $0.00514 |
| Opus 5 | $0.00026 | $0.00257 |
| Sonnet 5 | $0.00010 | $0.00103 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
roadmap 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Roadmap
Follow the governing instructions and the user's requirements for communication, code style, authorization, and delegation. This skill supplies task-specific guidance, not permission to expand the task. Its workflow and output fields describe internal checks and relevant content, not a mandatory response layout or a progress report. When used within broader authorized work, continue that work through completion rather than stopping to deliver this skill's intermediate result.
Create a route to the outcome that remains usable across sessions and agents.
Frame the destination
State the final observable outcome, current state, constraints, non-goals, and definition of done. Resolve only ambiguities that change sequencing or architecture.
Decompose
Split work into vertical units that leave the system in a valid, testable state. Make dependencies explicit. Put risk-reducing discovery and irreversible decisions early. Avoid tasks titled with multiple independent outcomes.
Before introducing shared infrastructure or a general abstraction, require a present need such as real consumers, an existing compatibility contract, or an established safety boundary. Do not invent extra consumers or a demonstration stage merely to satisfy a process.
Each unit must state its result, likely scope, prerequisites, acceptance criteria, and concrete verification. Identify safe parallel work only after contracts and shared ownership are settled.
Limit simultaneous in-progress stages to the work the available owners can finish and integrate. Starting more lanes is not progress when reviews, dependencies, or verification are already the bottleneck.
For date-sensitive work, record an optimistic, nominal, and pessimistic range with its assumptions, dependency owners, next checkpoint, and fallback trigger. Do not present a nominal estimate as a promise. Update the forecast when evidence changes instead of preserving a stale date.
Check the route
Ensure the sequence contains no circular dependency, hidden migration step, unverified handoff, or stage that is too large for one focused session. Add checkpoints where evidence should be reviewed before more work depends on it.
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.
- 2d ago Changed · +2 lines · +4 tokens per session 322c65a610d6
- 4d ago Changed · +6 lines 22f8bb0b48f5
- 9d ago First seen · 31 lines · 47 tokens per session scan A 31a2a593b43f
roadmap is a skill published in the GitHub repository dayfinggg/openai-codex-agent-skills (4 stars, last pushed 3d ago), licensed MIT. It adds 51 tokens to every session and 514 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 2026-08-31.
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