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/hoavdc/codexkit/codexkit-follow-up-draft-buildernpx skills add hoavdc/CodexKit --skill codexkit-follow-up-draft-buildergit clone --depth 1 https://github.com/hoavdc/CodexKitWhat 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 | $0.00066 | $0.00584 |
| Opus 5 | $0.00033 | $0.00292 |
| Sonnet 5 | $0.00013 | $0.00117 |
| Haiku 4.5 | $0.00007 | $0.00058 |
Grade A, and why
codexkit-follow-up-draft-builder 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Follow-Up Draft Builder
Purpose
Write short operational follow-ups that move work forward without overthinking.
When to use
- someone needs a reminder, nudge, or recap
- open decisions need a clean ask and due date
- the task is routine communication, not persuasion strategy
When not to use
- the message carries legal, HR, or regulatory risk
- tone calibration matters more than speed
Inputs
- source context or prior thread summary
- target audience
- goal of the message
- preferred tone if known
Procedure
- Identify the ask, owner, and desired timing.
- Strip background detail down to only what the receiver needs.
- Draft the message with a clear subject or opening line.
- End with one explicit next step.
- Provide a shorter variant if the user likely needs chat or Slack format.
Output
- follow-up message draft
- optional short-form version
Definition of done
- the request is clear in one read
- the recipient knows what action is needed
- the draft is brief enough to send with minor edits
Examples
- "Write a reminder to finance for the missing close evidence."
- "Draft a polite follow-up to the vendor on the contract intake questions."
Quality Criteria
- Trigger conditions and input requirements are unambiguous
- Each automated step produces a verifiable output
- Error handling and fallback paths are defined
- Manual override points are documented
Verification (4C)
| Check | Question |
|---|---|
| Correctness | Does the workflow produce the expected output for the defined inputs? |
| Completeness | Are all trigger conditions, edge cases, and error paths handled? |
| Context-fit | Is the automation appropriate for the frequency and criticality of this task? |
| Consequence | If this ran unattended and failed silently, what would the downstream impact be? |
Edge Cases
- Input format varies unexpectedly — Add a normalization step at entry. Alert the operator on format mismatches.
- Downstream system is unavailable — Queue the output and retry with exponential backoff. Alert after N failures.
- Partial execution completes — Ensure idempotency — re-running from the start produces the same result without duplication.
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 First seen · 81 lines · 66 tokens per session scan A 4cc0d87f7d28
codexkit-follow-up-draft-builder is a skill published in the GitHub repository hoavdc/CodexKit (21 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 584 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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