Borrowing it
Nothing to install: this file belongs to justomsharma/github-resume-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/justomsharma/github-resume-assistant/main/.claude/skills/implement/SKILL.mdgit clone --depth 1 https://github.com/justomsharma/github-resume-assistantWrote 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/justomsharma/github-resume-assistant/implement)<a href="https://agentmods.dev/skills/justomsharma/github-resume-assistant/implement"><img src="https://agentmods.dev/badge/skills/justomsharma/github-resume-assistant/implement/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/justomsharma/github-resume-assistant/implement"><img src="https://agentmods.dev/badge/skills/justomsharma/github-resume-assistant/implement.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 | $0.00060 | $0.00419 |
| Opus 5.5 | $0.00024 | $0.00168 |
| Sonnet 5.5 | $0.00012 | $0.00084 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
implement 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.
What it actually says
implement
Build the code for the approach approved in /plan-first. If no approach has been
validated yet, STOP and run /plan-first first.
Before writing
- Re-read the relevant parts of
docs/ARCHITECTURE.md(where code goes) anddocs/CODING_PRACTICES.md(how code is written). - Confirm the target files match the approved plan.
While writing
Follow CODING_PRACTICES.md strictly:
- Full type hints on every function.
- Keep
core/free of MCP imports — pure logic only. - Secrets only through
config.py; never hardcode keys. - Specific error handling on external calls; add retry/backoff in
clients/. - Reuse existing models in
core/models.py; add to them rather than duplicating. - Keep MCP tool functions thin: validate → call
core/→ format output. - Match surrounding style. No dead code, no leftover debug prints.
Scope discipline
- Build only what the approved approach covered. If you discover the plan was
wrong or incomplete, STOP and go back to
/plan-first— don't silently expand scope.
Self-check before handing off
- Code matches the approved approach
- Fully typed; would pass
ruffandmypy - No secrets, no bare
except, no dead code -
core/has no MCP imports - New logic lives in the layer ARCHITECTURE.md assigns it to
Handoff
Once the code is written → hand off to /test to add and run tests.
Do NOT commit yet.
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 · 45 lines · 60 tokens per session scan A 6c3c6b87a903
implement is a skill published in the GitHub repository justomsharma/github-resume-assistant (0 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 419 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 2026-08-31.
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