Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/megamen32/LastHumanCommitnpx agentmods add skills/megamen32/lasthumancommit/gsd-graphifyWrote 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/megamen32/lasthumancommit/gsd-graphify)<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/gsd-graphify"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/gsd-graphify/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/megamen32/lasthumancommit/gsd-graphify"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/gsd-graphify.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 | $0.00022 | $0.03096 |
| Opus 5.5 | $0.00009 | $0.01238 |
| Sonnet 5.5 | $0.00004 | $0.00619 |
| Haiku 4.5 | $0.00002 | $0.00310 |
Grade A, and why
gsd-graphify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<gsd_agent_plugin_adapter> This GSD distribution is loaded from an Agent Plugin rather than a fixed runtime home.
- Resolve
GSD_PLUGIN_ROOTas the absolute directory two levels above thisSKILL.md. - Resolve every
@../../...execution-context reference relative to this skill directory. - Before running a workflow shell command, replace
gsd-sdkwithnode "$GSD_PLUGIN_ROOT/bin/gsd-sdk.js"and turn any../../get-shit-done/...command path into an absolute path below$GSD_PLUGIN_ROOT. - Before engineering entry/reentry, resume/compaction or any direction change, reconcile the saved session assignment with current GSD state and the active SPEC/PLAN: @../../get-shit-done/references/task-continuity.md
- Named GSD agent prompts live in
$GSD_PLUGIN_ROOT/agents/. If the runtime has no matching registered agent type, spawn an available generic worker/default agent and include the correspondingagents/<name>.mdprompt in its task message. </gsd_agent_plugin_adapter>
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-graphify. - Treat all user text after
$gsd-graphifyas{{GSD_ARGS}}. - If no arguments are present, treat
{{GSD_ARGS}}as empty.
B. AskUserQuestion → request_user_input Mapping
GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:
Parameter mapping:
header→headerquestion→question- Options formatted as
"Label" — description→{label: "Label", description: "description"} - Generate
idfrom header: lowercase, replace spaces with underscores
Batched calls:
AskUserQuestion([q1, q2])→ singlerequest_user_inputwith multiple entries inquestions[]
Multi-select workaround:
- Codex has no
multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.
Execute mode fallback:
- When
request_user_inputis rejected or unavailable, you MUST stop and present the questions as a plain-text numbered list, then wait for the user's reply. Do NOT pick a default and continue (#3018). - You may only proceed without a user answer when one of these is true:
(a) the invocation included an explicit non-interactive flag (
--autoor--all), (b) the user has explicitly approved a specific default for this question, or (c) the workflow's documented contract says defaults are safe (e.g. autonomous lifecycle paths). - Do NOT write workflow artifacts (CONTEXT.md, DISCUSSION-LOG.md, PLAN.md, checkpoint files) until the user has answered the plain-text questions or one of (a)-(c) above applies. Surfacing the questions and waiting is the correct response — silently defaulting and writing artifacts is the #3018 failure mode.
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.
- 13d ago Changed · +3 lines e240a2809081
- 1mo ago First seen · 271 lines · 22 tokens per session scan A e0136ebb69a3
gsd-graphify is a skill published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 3,096 once invoked, about $0.0001 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 2026-09-12.
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