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 agentmods add agents/yaleh/meta-cc/agent-parameter-categorizergit clone --depth 1 https://github.com/yaleh/meta-ccWhat 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 | $0.00032 | $0.02402 |
| Opus 5 | $0.00016 | $0.01201 |
| Sonnet 5 | $0.00006 | $0.00480 |
| Haiku 4.5 | $0.00003 | $0.00240 |
Grade A, and why
agent-parameter-categorizer 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 2d 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
λ(api, parameters) → categorization | ∀param ∈ parameters:
categorize :: (API, Parameters) → Categorization categorize(A, P) = read(A) → apply_tree(P) → group_by_tier() → order() → add_comments() → verify_determinism() → process_all() → report()
apply_decision_tree :: Parameter → Tier apply_decision_tree(p) = { tier: match p with | _ where p.required = true → 1, | _ where filters_results(p) → 2, | _ where defines_range(p) → 3, | _ where controls_output(p) → 4, | _ where is_standard(p) → 5, | _ → unclassified,
return {parameter: p.name, tier: tier, reason: explain_decision(p, tier)} }
filters_results :: Parameter → Bool filters_results(p) = (p.description ~ "filter|narrow|select|match") ∧ ¬(p.description ~ "limit|offset|count|size")
defines_range :: Parameter → Bool defines_range(p) = (p.name ~ "min_|max_|threshold|window|start_|end_") ∨ (p.description ~ "bound|range|minimum|maximum")
controls_output :: Parameter → Bool controls_output(p) = p.name ∈ {"limit", "offset", "output_format", "max_results"} ∨ (p.description ~ "output size|result count|format")
is_standard :: Parameter → Bool is_standard(p) = p.name ∈ {"scope", "jq_filter", "stats_only", "stats_first", "inline_threshold_bytes"}
categorize_all :: Parameters → Categorized_Parameters categorize_all(P) = { categorized: { tier_1: [p | p ∈ P ∧ apply_decision_tree(p).tier = 1], tier_2: [p | p ∈ P ∧ apply_decision_tree(p).tier = 2], tier_3: [p | p ∈ P ∧ apply_decision_tree(p).tier = 3], tier_4: [p | p ∈ P ∧ apply_decision_tree(p).tier = 4], tier_5: [p | p ∈ P ∧ apply_decision_tree(p).tier = 5], unclassified: [p | p ∈ P ∧ apply_decision_tree(p).tier = unclassified] },
return categorized }
order_by_tier :: Categorized_Parameters → Ordered_Parameters order_by_tier(C) = { ordered: flatten([ C.tier_1, C.tier_2, C.tier_3, C.tier_4, C.tier_5 ]),
return { parameters: ordered, sequence: [p.name | p ∈ ordered] } }
add_tier_comments :: Ordered_Parameters → Commented_Parameters add_tier_comments(O) = { with_comments: [],
∀tier ∈ [1, 2, 3, 4, 5] → params_in_tier: [p | p ∈ O.parameters ∧ p.tier = tier],
if |params_in_tier| > 0 then
comment: generate_tier_comment(tier),
with_comments += [comment] + params_in_tier,
return with_comments }
generate_tier_comment :: Tier → Comment generate_tier_comment(tier) = { comments: { 1: "// Tier 1: Required Parameters", 2: "// Tier 2: Filtering", 3: "// Tier 3: Range Parameters", 4: "// Tier 4: Output Control", 5: "// Tier 5: Standard Parameters (added automatically)" },
return comments[tier] }
verify_determinism :: Categorization → Determinism_Metrics verify_determinism(C) = { total: |C.all_parameters|, categorized: |C.tier_1| + |C.tier_2| + |C.tier_3| + |C.tier_4| + |C.tier_5|, ambiguous: |C.unclassified|, determinism_rate: categorized / total,
checks: { single_tier: ∀p ∈ C.all_parameters → count(t | p ∈ C[t]) = 1, consistent: ∀p ∈ C.all_parameters → apply_decision_tree(p).tier ≠ unclassified, ordered: sequence_matches_tier_order(C.ordered) },
return { total_parameters: total, categorized: categorized, ambiguous: ambiguous, determinism_rate: determinism_rate, all_checks_passed: checks.single_tier ∧ checks.consistent ∧ checks.ordered } }
process_all_tools :: Tools → Processing_Results process_all_tools(T) = { results: [],
∀tool ∈ T → parameters: extract_parameters(tool), categorization: categorize_all(parameters), ordering: order_by_tier(categorization), commented: add_tier_comments(ordering),
compliance_before: calculate_compliance(tool.current_order, ordering.sequence),
apply_reordering(tool, commented),
compliance_after: calculate_compliance(tool.new_order, ordering.sequence),
run_tests(tool),
results += {
tool: tool.name,
parameters_categorized: |parameters|,
ambiguous_cases: |categorization.unclassified|,
compliance_before: compliance_before,
compliance_after: compliance_after,
status: if compliance_after = 1.0 then "COMPLETED" else "NEEDS_REVIEW"
},
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.
- 2d ago First seen · 294 lines · 32 tokens per session scan A 71318fa2d481
agent-parameter-categorizer is an agent published in the GitHub repository yaleh/meta-cc (21 stars, last pushed 11d ago), licensed MIT. It adds 32 tokens to every session and 2,402 once invoked, about $0.0002 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 2026-08-30.
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