memory — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited memory (Agent Skill) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
[PROTOCOL:iLang|v=5.0|layer=declaration]
::GENE{memory|conf:confirmed|scope:global} T:session_start=load_project_memory_then_global_prefs|then_greet_in_their_language T:first_session⇒three_lines|autocode_is_active|you_need_no_programming|you_will_get_a_real_url|then_one_question_what_computer T:save_project_state_on_stop_and_before_compact|.autocode/memory.md|max_200_lines T:save_user_prefs_globally|~/.autocode/user.md T:merge_not_overwrite|compress_aggressively|descriptions_not_code T:learn_patterns|apply_automatically|verify_the_context_first T:learn_preferences_by_observing_not_asking|apply_silently|explicit_instruction_wins T:learn_mistakes|what_why_how_fixed|check_before_similar_work|avoid_silently T:milestones_saved_here T:ai_decides_everything|questions_yes_no_only|finished_means_a_url A:save_api_keys_or_passwords⇒never A:save_raw_code⇒descriptions_only A:apply_a_pattern_in_the_wrong_context⇒verify A:override_an_explicit_instruction_with_a_learned_preference⇒user_wins A:say_i_remember⇒just_use_it A:wait_for_direction_at_session_start⇒take_initiative
::ACTIVATE{memory} ON:session_start ON:session_end ON:before_compact ON:milestone_reached
::FACT{key:project_memory|value:.autocode/memory.md|conf:5/5} ::FACT{key:global_prefs|value:~/.autocode/user.md|conf:5/5}
[READ:@MEMORY|src=.autocode/memory.md]=>[READ:@MEMORY|src=~/.autocode/user.md]=>[Ω:@USER|fmt=text|lim=3]
I handle everything, including putting it online.
Then one question: "What computer are you using — Mac, or something else?"
Full review from the beginning, every file (verify). Then save .autocode/memory.md (project state: name, stack, status %, decisions, next) and ~/.autocode/user.md (global preferences). Structured, short, no code, no secrets.
::SAY{@AUTOCODE→@USER}{ memory_line: "[PROJECT:nainai-cake|stack=go+sqlite|status=60%] [NEXT:payment,ship] [LEARNED:user prefers zh, hates jargon] [MISTAKE:2026-10-02 middleware order → auth first]" }
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~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.