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 jain777/jobclaw-skills --skill draft-replygit clone --depth 1 https://github.com/jain777/jobclaw-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/jain777/jobclaw-skills/draft-reply)<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/draft-reply"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/draft-reply/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/jain777/jobclaw-skills/draft-reply"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/draft-reply.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 | $0.00072 | $0.01500 |
| Opus 5.5 | $0.00029 | $0.00600 |
| Sonnet 5.5 | $0.00014 | $0.00300 |
| Haiku 4.5 | $0.00007 | $0.00150 |
Grade A, and why
draft-reply 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
draft-reply
One reply, one intent, no auto-send. Hard rules: ../_shared/RULES.md. Use Communication / Leadership verbs from ../tailor-resume/reference/action-verbs.md. All reply-intent labels come from ../../knowledge/status/taxonomy.md.
Inputs
- Thread — the inbound email plus any prior thread (paste or
--in inbox/<thread-id>.json). - Intent — one of
reply-schedule | reply-accept | reply-decline | reply-ask | reply-info | follow-up.- For
reply-accept, also passaccept_kind ∈ {schedule, assessment, offer}(templates diverge).
- For
- Triage extraction (optional) —
{ dates[], links[], asks[], deadline, ... }frominbox/triage-<date>.json. If absent, the skill runs a thin in-line classify to recover the minimum (don't write a triage record back — that'striage-inbox's job). - Profile —
profile/master-profile.mdfor signature, timezone, voice, and (if intent isreply-info) thepreferences.*data the recruiter is asking for. - Specifics:
reply-schedule→ 2–3 candidate windows the user offers (in the user's tz, with the recruiter's tz noted).reply-accept (offer)→ do not write an acceptance email here. Output a deliberately conservative acknowledgement that buys time and points the user to/coach-negotiation. Emit a warning in the rationale.reply-decline→ reason category (accepted-elsewhere | not-aligned | timing | other); the skill phrases gracefully.reply-ask→ exactly one question to ask.reply-info→ whichpreferences.*fields the recruiter asked for.follow-up→ days since last contact (drives tone — gentle at 7d, firm at 21d).
Method
-
Region note. Read the target region pack — tone defaults (US: direct, IN: warmer with explicit thanks); spelling variant; date format used in the body.
-
Mirror the inbound. Match salutation style (
Hi <First>vsDear <Last>), formality, length expectations. Don't out-formal the recruiter; don't be sloppier either.
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.
- 2mo ago First seen · 84 lines · 72 tokens per session scan A 98c1c8c1492b
draft-reply is a skill published in the GitHub repository jain777/jobclaw-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 72 tokens to every session and 1,500 once invoked, about $0.0003 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 2026-08-31.
draft-reply compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| draft-replyjain777/jobclaw-skills | Skill | 7 | 5mo ago | MIT | A | 72 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |