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 Khar-AG/t-800-agent --skill t-800-fix-packgit clone --depth 1 https://github.com/Khar-AG/t-800-agentWrote 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/khar-ag/t-800-agent/t-800-fix-pack)<a href="https://agentmods.dev/skills/khar-ag/t-800-agent/t-800-fix-pack"><img src="https://agentmods.dev/badge/skills/khar-ag/t-800-agent/t-800-fix-pack/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/khar-ag/t-800-agent/t-800-fix-pack"><img src="https://agentmods.dev/badge/skills/khar-ag/t-800-agent/t-800-fix-pack.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 | $0.00079 | $0.00420 |
| Opus 5.5 | $0.00032 | $0.00168 |
| Sonnet 5.5 | $0.00016 | $0.00084 |
| Haiku 4.5 | $0.00008 | $0.00042 |
Grade A, and why
t-800-fix-pack 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 1mo 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
T-800 — fix-pack → PATCH
Procedural map: fix-pack → /t800-fix → Task(t-800-factory) PATCH → run_gate.
Что читать
shared/fix-pipeline-contract.mdtemplates/fix-pack.md.templatecommands/t800-fix.md
Секции: pack-sections.md.
Ограничения: patch-constraints.md.
Алгоритм
- Read
{memory_path}/fix-packs/<slug>.md. - Validate required sections (см. refs).
research_mode: skip | light | deep (default skip/light).- Brain LIGHT:
Task(t-800-brain-lead)сmode: PATCH. - Factory только
files[]из pack. python3 scripts/t800_run_gate.py(+ флаги по режиму).- Обновить STATE Gates / Completed.
Выход
pack_ok: true|false
missing_sections: []
patch_scope: []
next: t-800-factory|blocked
Запреты
- DEEP research по умолчанию
- Расширять scope без обновления pack
- Править production site/deck
- Self-PASS без machine gate
What ships with it
2 files 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.
- 1mo ago First seen · 55 lines · 79 tokens per session scan A c57dbef3df83
t-800-fix-pack is a skill published in the GitHub repository Khar-AG/t-800-agent (8 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 420 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 2026-09-03.
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Fetch live API, version, and enum facts from the target runtime or stack before planning. Use in Phase 0 of pn-design and pn-build when the stack may have changed since training data.
pn-systematic-debugging
Root cause analysis with triage mode — Phase 0 feedback loop, investigate first, one question max, then isolate, hypothesize, confirm. Outputs TDD fix plan with RED-GREEN cycles; optional GitHub issue via GitHub MCP. Use when debugging a failure or bug.
pn-discipline-philosophy
Defines engineering discipline: test-first, root-cause before fix, minimal change, measure-before-optimize, review/second look, evidence over guess. Use when implementing features, debugging, planning, or establishing development practices. Aligns with TDD, systematic debugging, and RCA practices (current).
review-diff
Scan git diffs for project-specific anti-patterns. Triggers on: 'scan diff', 'check diff', 'anti-pattern check', 'pattern scan', 'review changes'.
triage
Classify any input — idea, bug, ticket key, #42, PR URL, stack trace — size it, and name the command to type; with no args, report where you are.