Borrowing it
Nothing to install: this file belongs to bengous/claude-code-plugins. 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/bengous/claude-code-plugins/main/.claude/hillclimb/goalify/opus/baseline/SKILL.mdgit clone --depth 1 https://github.com/bengous/claude-code-pluginsWrote 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/bengous/claude-code-plugins/baseline)<a href="https://agentmods.dev/skills/bengous/claude-code-plugins/baseline"><img src="https://agentmods.dev/badge/skills/bengous/claude-code-plugins/baseline/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/bengous/claude-code-plugins/baseline"><img src="https://agentmods.dev/badge/skills/bengous/claude-code-plugins/baseline.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 | $0.00084 | $0.01370 |
| Opus 5.5 | $0.00034 | $0.00548 |
| Sonnet 5.5 | $0.00017 | $0.00274 |
| Haiku 4.5 | $0.00008 | $0.00137 |
Grade A, and why
goalify 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 9d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goalify
Write the line the user pastes after /goal: the condition, and only the
condition. The work it describes is the next session's, not yours.
A /goal condition is read twice. Claude reads it as the directive of the next
turn. A small evaluator model reads it after every turn, against the
conversation alone: it runs no command and opens no file, so it can only judge
what Claude has printed. The condition is written for that second reader. A
clause the evaluator cannot settle from the transcript is a clause that never
resolves, and the loop runs until the turn cap or the user kills it.
Input
$ARGUMENTS
A draft condition as input is rewritten clause by clause, keeping its intent and replacing what the evaluator could not settle.
interactive as the first word: settle each clause below with AskUserQuestion,
one at a time, the recommended answer first; inspect the repository instead of
asking when it holds the answer. Otherwise infer, and ask only when two readings
of the task give two different end states.
Five clauses
End state. One measurable fact that holds when the work is done, in the
present tense: a test result, an exit code, a file count, an empty queue, a
score at or above a threshold. Not an activity ("migrate the module") but its
trace ("every call site of oldApi is gone and the build passes"), and not an
order ("make the case pass") but the fact ("the case passes 20 runs"). Several
facts joined by "and" are one end state; two unrelated ones are two goals, run
in sequence.
Proof. The command Claude runs and the exact line of its output that shows
the end state, printed in the conversation: "bun test --parallel exits 0 and
its summary shows 0 fail", not "tests pass". Take the command from the
repository's own checks when it has them (package.json scripts, AGENTS.md,
CI config); write the proof clause first and derive the end state from it when
the task is vague. The proof is the command's own summary line, never an
echoed exit code (Gotchas).
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.
- 9d ago First seen · 121 lines · 84 tokens per session scan A 2ef02f01d823
goalify is a skill published in the GitHub repository bengous/claude-code-plugins (6 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 1,370 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 2026-10-20.
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