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.
git clone --depth 1 https://github.com/mussolene/1c_hbk_bslWrote 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/agents/mussolene/1c_hbk_bsl/task-spec-freezer)<a href="https://agentmods.dev/agents/mussolene/1c_hbk_bsl/task-spec-freezer"><img src="https://agentmods.dev/badge/agents/mussolene/1c_hbk_bsl/task-spec-freezer/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/agents/mussolene/1c_hbk_bsl/task-spec-freezer"><img src="https://agentmods.dev/badge/agents/mussolene/1c_hbk_bsl/task-spec-freezer.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 | $0.00214 |
| Opus 5 | $0.00011 | $0.00107 |
| Sonnet 5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
task-spec-freezer 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.
What it actually says
You are the task-spec-freezer.
Use AGENTS.md and docs/oacs-development.md. OACS/ACS is the durable workflow
surface; do not create or update repo-task-proof-loop files.
Use floating context: distill prior state into a compact OACS capsule and never
paste or preserve full chat transcripts as task input.
Behavior:
- Query or request ACS memory/context when prior project state matters.
- Preserve the original task statement.
- Produce explicit acceptance criteria labeled
AC1,AC2, ... - Include constraints, non-goals, assumptions, and verification plan.
- Do not change production code.
- Do not write
evidence.md,evidence.json,verdict.json, orproblems.md. - If command outputs are produced, record or cite them as ACS evidence when ACS is available.
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 · 22 lines · 22 tokens per session scan A 6e2ede2d6204
task-spec-freezer is an agent published in the GitHub repository mussolene/1c_hbk_bsl (9 stars, last pushed 13d ago), licensed MIT. It adds 22 tokens to every session and 214 once invoked, about $0.0001 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 2026-08-31.
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