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 kalpmodi/akira --skill zerodayhuntgit clone --depth 1 https://github.com/kalpmodi/akiraWrote 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/kalpmodi/akira/zerodayhunt)<a href="https://agentmods.dev/skills/kalpmodi/akira/zerodayhunt"><img src="https://agentmods.dev/badge/skills/kalpmodi/akira/zerodayhunt/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/kalpmodi/akira/zerodayhunt"><img src="https://agentmods.dev/badge/skills/kalpmodi/akira/zerodayhunt.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 | $0.00136 | $0.02718 |
| Opus 5 | $0.00068 | $0.01359 |
| Sonnet 5 | $0.00027 | $0.00544 |
| Haiku 4.5 | $0.00014 | $0.00272 |
Grade A, and why
zerodayhunt 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 11d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zero-Day & Critical Vulnerability Hunt
Philosophy
Automated tools find known CVEs. This skill finds what scanners miss: logic flaws, architecture leaks, supply chain vectors, auth bypasses, and chained attacks. Evidence required before claiming ANY finding. Never hallucinate - if you didn't see it in a response body, it didn't happen.
The rule that separates elite from script kiddie: A single finding is rarely Critical. The payout comes from CHAINING. SSRF + AWS metadata = IAM creds = cloud takeover. Info disclosure + IDOR = mass PII = Critical. Always ask: "What can I do WITH this?"
Critical rule: NEVER stop at "SSRF/network reachability possible" or "endpoint exists". Must prove full chain: credentials extracted, PII accessed, or data exfiltrated. A 200 with empty body = WAF catch-all, not a real finding.
ARGUMENTS
<target> - domain (e.g. target.com)
<focus> - optional: RCE / SSRF / IDOR / SUPPLY-CHAIN / JWT / BUSINESS-LOGIC / CHAIN / ALL
Phase 0: Smart Intake
source ~/.claude/skills/_shared/phase0.sh
source ~/.claude/skills/_shared/signals.sh
p0_init_vars "$1"
p0_state_gate "HARVEST" || exit 0
p0_read_relay recon secrets exploit
p0_read_memory
p0_read_hypotheses
# Aliases for downstream phase references
TECH_STACK=$KNOWN_TECH
ALL_ENDPOINTS="$INTERESTING_ENDPOINTS $WAYBACK_ENDPOINTS $API_SPEC_ENDPOINTS"
ATW_FLAGGED=$(echo "$ATW_FLAGGED" 2>/dev/null)
echo "=== ZERODAYHUNT SMART INTAKE: $TARGET ==="
echo "State: $STATE | WAF: $WAF | Tech: $TECH_STACK"
echo "Top hypothesis: $TOP_HYPO_LABEL [$TOP_HYPO_PROB%]"
echo "SSRF vectors from exploit: $(echo "$SSRF_VECTORS" | wc -l)"
echo "Internal IPs available: $(echo "$INTERNAL_IPS" | wc -w)"
echo "JWT tokens: $(echo "$JWT_TOKENS" | wc -l)"
echo "Prior confirmed findings: $(echo "$CONFIRMED_VULNS" | wc -l)"
echo "ATW flagged (skip): $ATW_FLAGGED"
echo ""
echo "Phase selection - run phases where we have targets:"
[ -n "$SSRF_VECTORS" ] && echo " Phase 8 (SSRF): YES - $(echo "$SSRF_VECTORS" | wc -l) vectors to chain"
[ -n "$JWT_TOKENS" ] && echo " Phase 7 (JWT): YES - tokens found"
[ -n "$INTERNAL_IPS" ] && echo " Phase 8 (SSRF pivot): YES - internal IPs to target"
[ -n "$CONFIRMED_VULNS" ] && echo " Phase 23 (Chain): YES - $(echo "$CONFIRMED_VULNS" | wc -l) confirmed to chain"
What ships with it
20 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.
- tech/admin-infra.md 3.9 KB
- tech/business-logic.md 4.0 KB
- tech/chain-blueprints.md 6.2 KB
- tech/cicd.md 1.6 KB
- tech/client-proto.md 6.0 KB
- tech/cors-host.md 1.4 KB
- tech/file-crypto.md 4.5 KB
- tech/github-js-sourcemap.md 4.9 KB
- tech/graphql.md 1.3 KB
- tech/jwt-saml-sso.md 3.5 KB
- tech/mobile-apk.md 1.7 KB
- tech/output.md 3.8 KB
- tech/race-timing.md 3.2 KB
- tech/ssrf-oob.md 5.0 KB
- tech/ssti-deser-xxe.md 1.8 KB
- tech/supply-chain.md 2.8 KB
- tech/takeover-cloud.md 2.8 KB
- tech/waf-header-mining.md 3.9 KB
- tech/websocket-api.md 1.2 KB
- tech/xs-leaks.md 1.9 KB
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.
- 11d ago First seen · 180 lines · 136 tokens per session scan A 795a4fc0b612
zerodayhunt is a skill published in the GitHub repository kalpmodi/akira (21 stars, last pushed 2mo ago), licensed MIT. It adds 136 tokens to every session and 2,718 once invoked, about $0.0007 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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