Everything else is secondary. Infrastructure, DNS, cron — ignore all of it. You are here to talk to developers who are currently experiencing AI cost pain and demonstrate that AgentShield solves their specific problem.
The Phase 10 outreach session produced verifiable results:
- 9 new GitHub comments posted across open issues about AI agent costs
- 1 real technical conversation started with @yun520-1 on OpenClaw #42475
- @yun520-1 suggested two features: session-scoped budgets with decay tightening and cascade cost estimation (pre-dispatch EV: call_cost + fail_probability × reversal_cost)
- Both features were implemented —
session_budgetandcascade_costrule types, with 6 new eval scenarios - Eval gym: 56/56 (up from 50) — confirmed live at https://agentshield.fly.dev/eval
- GitHub outreach: 14 total posts across 12 repos
The @yun520-1 conversation is not a cold outreach comment. It's a product feedback loop with a qualified potential user from HeartFlow who has a production cost-gating system. They told you exactly what they need. You built it. Now follow up.
Every claim must be backed by visible tool output. Comment posted → show the URL. Search run → show results. Eval checked → show the numbers. Never invent IDs, URLs, or statuses. Never touch memory. Never mention cron — the pipeline runs, ignore it entirely.
This is the most valuable lead we have. Someone from HeartFlow engaged substantively. Follow up within the same thread.
gh issue view https://github.com/openclaw/openclaw/issues/42475 --comments 2>&1 | tail -80Read @yun520-1's original reply and your previous response carefully.
Write a comment that:
- Thanks them for the cascade_cost and session_budget suggestions
- Shows you implemented them — mention the 56/56 eval gym, link to the live endpoint
- Asks a specific, technical question to continue the conversation:
- "In HeartFlow's cost-gating system, how do you handle the case where a blocked transaction's reversal cost is unknown? We default to TTL-based estimation but curious if you found a better approach."
- Soft pitch: "We're looking for a few early design partners to stress-test these rule types in production. Would you be open to a 15-minute call?"
- Link: GitHub repo + risk calculator
Write the comment body and post:
cat << 'EOF' > /tmp/yun-follow-up.md
Thank you @yun520-1 — your cascade_cost and session_budget suggestions were exactly what the engine was missing. We shipped both:
• **session_budget** — session-scoped spend cap with optional decay tightening as usage approaches the limit
• **cascade_cost** — pre-dispatch expected value: call_cost + (fail_probability × reversal_cost)
Both are live with 6 new eval scenarios → 56/56 total across 9 categories: https://agentshield.fly.dev/eval
One question from implementing cascade_cost: in HeartFlow's system, how do you estimate reversal_cost when it's unknown? We default to TTL-based estimation (assume max tokens × provider rate for the model tier), but I'm curious if you found a more accurate approach for gating pre-dispatch.
We're looking for a few design partners to stress-test these rule types against real production workloads. Would you be open to a 15-minute call, or would you prefer to kick the tires yourself? The self-hosted version takes 60 seconds — pure Python stdlib, zero deps.
GitHub: https://github.com/kindrat86/agentshield
Risk calculator: https://agentshield.fly.dev/tools/risk-calculator/
EOF
gh issue comment https://github.com/openclaw/openclaw/issues/42475 --body-file /tmp/yun-follow-up.mdIf they show interest in a call or design partnership:
- Save the conversation details to
/Users/sipi/agentshield/outreach/yun520-1-conversation.md - Send a Telegram notification: "HeartFlow lead engaged — possible design partner. Check OpenClaw #42475."
- Ask for contact info or scheduling
Search for developers actively complaining about AI costs RIGHT NOW. Post contextual, specific comments offering AgentShield as a solution.
Run all 5 searches. For each open issue with real cost complaints, read the full context and post a customized reply.
# Search 1: Direct cost complaints (fresh)
gh search issues "AI cost" OR "API bill" OR "spending too much" "agent" --limit 10 --state open --sort updated 2>&1
# Search 2: Runaway/budget issues
gh search issues "runaway" OR "budget exceeded" OR "token cost" "agent" --limit 10 --state open --sort updated 2>&1
# Search 3: Rate limit / retry storms
gh search issues "rate limit" "retry" "cost" "agent" --limit 10 --state open --sort updated 2>&1
# Search 4: Billing surprises
gh search issues "unexpected" OR "surprise" "API bill" OR "token" --limit 10 --state open --sort updated 2>&1
# Search 5: Cost control / budget limit
gh search issues "budget limit" OR "cost control" OR "spend limit" "AI" OR "agent" --limit 10 --state open --sort updated 2>&1- Read the full issue — understand the EXACT pain point
- Check for existing AgentShield comments — don't duplicate
- Craft a reply using this structure:
[1-2 sentences acknowledging their specific problem — quote their exact words]
This is structural: AI agents don't know they're spending money. Every API call, retry, and context window expansion is invisible to the agent — the operator only sees the bill.
[One specific AgentShield rule that would have prevented their exact scenario]
- <1ms evaluation overhead
- Pure Python 3.11 stdlib — zero dependencies — self-host in 60 seconds
- 56/56 eval gym across 9 rule types: https://agentshield.fly.dev/eval
Risk calculator (no signup, 30 seconds): https://agentshield.fly.dev/tools/risk-calculator/
GitHub (MIT): https://github.com/kindrat86/agentshield
Managed: $19/mo Dev tier, 14-day free trial
Disclosure: I built it after an agent spent $2,800 in 60 seconds while I was asleep.
- Post:
gh issue comment <url> --body-file /tmp/comment-N.md - Record the URL
Match the right rule to their complaint:
- "My agent spent $500 in one call" →
transaction_limit("Block any single call over $X") - "Overnight it burned $200" →
daily_total("Cap cumulative spend per agent per day") - "Got stuck in a loop" →
velocity("Flag if N+ calls in a time window") - "Called the wrong API" →
merchant_allowlist("Only allow approved API providers") - "Bought crypto through the agent" →
category_block("Block entire spending categories") - "Cumulative session was running high" →
session_budget("Session-scoped cap with decay tightening") - "Retry storm after failure" →
cascade_cost("Pre-dispatch EV includes failure probability × reversal cost")
For GitHub Discussions (not Issues):
# Get discussion ID
DID=$(gh api graphql -f query='
query($owner:String!,$repo:String!,$num:Int!) {
repository(owner:$owner,name:$repo) {
discussion(number:$num) { id }
}
}' -f owner='OWNER' -f repo='REPO' -f num=NUMBER --jq '.data.repository.discussion.id')
# Post comment
gh api graphql -f query='
mutation($did:ID!,$body:String!) {
addDiscussionComment(input:{discussionId:$did,body:$body}) {
comment { id url }
}
}' -f did="$DID" -f body="@/tmp/discussion-body.md"The 14 existing outreach posts may have gotten replies overnight. Check all of them:
# Check key threads for new comments
for url in \
"https://github.com/NousResearch/hermes-agent/issues/21172" \
"https://github.com/openclaw/openclaw/issues/42475" \
"https://github.com/zeroclaw-labs/zeroclaw/issues/2269" \
"https://github.com/cinatra-ai/cinatra/issues/2580" \
"https://github.com/shakacode/agent-workflows/issues/393" \
"https://github.com/google-gemini/gemini-cli/discussions/4472"; do
echo "=== $(basename $(dirname $url))/$(basename $url) ==="
gh issue view "$url" --comments 2>&1 | grep -A2 "kindrat86\|AgentShield\|@yun" | head -10
doneIf anyone replied: Respond immediately. A conversation is worth 50 one-off comments. Prioritize these over Phase 2.
If @yun520-1 replied: Drop everything. That's the highest-value thread.
If nobody replied: That's normal. Cold outreach has a ~2% reply rate. With 14 posts, expect 0-1 replies per day. Keep posting.
web_search "site:reddit.com \"AI agent\" \"cost\" OR \"bill\" OR \"expensive\" OR \"$500\" 2026"
web_search "site:news.ycombinator.com \"agent\" \"cost\" OR \"spend\" OR \"bill\" August 2026"
web_search "site:dev.to \"openai bill\" OR \"claude expensive\" OR \"agent cost\" 2026"
web_search "\"I spent\" OR \"cost me\" \"openai\" OR \"claude\" OR \"API\" \"agent\" 2026"
web_search "\"AI agent\" OR \"LLM agent\" \"budget\" OR \"spend\" OR \"cost\" problem issue 2026"Hacker News: The HN API allows reading but not posting for low-karma accounts. Draft comments for Maryan:
- Read the thread via
web_extract - Write a draft comment that adds value first, mentions AgentShield second
- Save to
/Users/sipi/agentshield/content/hn-drafts-$(date +%Y%m%d).md
Dev.to: Check if the API is accessible:
curl -s "https://dev.to/api/articles?tag=ai&per_page=5" | python3 -c "
import sys,json
for a in json.load(sys.stdin):
print(f'{a[\"title\"][:80]} — {a[\"url\"]}')
"If articles are about AI costs, draft comments. If API posting is possible, post via REST. If not, save drafts.
Reddit: Genuinely network-blocked. Draft only. Save to /Users/sipi/agentshield/content/reddit-drafts-$(date +%Y%m%d).md.
Other forums (Hashnode, Medium, Substack, etc.): Draft comments with exact URLs. Save to the same drafts file.
Load skills: skill_view name="cloudflare-dns-operations" and skill_view name="macos-browser-driving".
open -a Safari "https://mail.google.com/mail/u/0/"Capture: computer_use action='capture' mode='som' app='Safari'
If Gmail loads mkondratyuk86@gmail.com inbox → navigate to Cloudflare, add records:
- A: agentshield → 66.241.125.16 (proxy OFF)
- AAAA: agentshield → 2a09:8280:1::166:9212:0 (proxy OFF)
If no session or login required → stop. Report "DNS blocked — requires Safari login to mkondratyuk86@gmail.com."
Verify: dig agentshield.sipiteno.com A +short
Read content: read_file path="/Users/sipi/agentshield/content/producthunt-listing.md"
Navigate: open -a Safari "https://www.producthunt.com/posts/new"
Fill fields via JS native setter injection. Upload logo (PNG stdlib generation). Try tags 3 ways (set_value, JS injection, foreground type). If tags fail, mark PH as "blocked by autocomplete field — needs Maryan to type 'Developer Tools' in launch tags."
If submitted → capture URL → add badge to public/index.html → fly deploy.
# Product health
curl -s https://agentshield.fly.dev/health
curl -s https://agentshield.fly.dev/eval | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'{d[\"passed\"]}/{d[\"total\"]} — {len(d[\"by_category\"])} categories')"
# Tests
cd /Users/sipi/agentshield && LICENSING_MASTER_SECRET=test python3.11 tests/run_tests.py 2>&1 | tail -3
# DNS (if attempted)
dig agentshield.sipiteno.com A +short
# Count total outreach posts this session
echo "New comments posted: $(ls /tmp/comment-*.md 2>/dev/null | wc -l)"
# Commit
cd /Users/sipi/agentshield && git add -A && git commit -m "Phase 11: outreach follow-up + new comments + yun520-1 checkin"## Phase 11 — Outreach Report
### @yun520-1 Follow-Up
- Reply posted: [YES / NO] — [URL]
- Their response: [Pending / They replied (quote)]
- Status: [Conversation active / Awaiting reply / Design partner ask made]
### New Comments Posted Today
| # | Repo | Issue | Type | URL | Rule Matched |
|---|------|-------|------|-----|-------------|
| 1 | ... | ... | Issue | ... | daily_total |
| 2 | ... | ... | Discussion | ... | transaction_limit |
### Replies to Existing Posts
| # | Thread | New Reply? | Action Taken |
|---|--------|------------|-------------|
| 1 | openclaw#42475 | Yes/No | Responded / Waiting |
| 2 | zeroclaw#2269 | Yes/No | ... |
### Leads Found (Off-GitHub)
| # | Platform | URL | Why Relevant | Draft Saved To |
|---|----------|-----|-------------|---------------|
| 1 | HN | ... | ... | hn-drafts-*.md |
### DNS
- Attempted: [YES / NO]
- Session active: [YES / NO]
- Records added: [YES / NO]
- dig output: [raw or "not attempted"]
### PH
- Attempted: [YES / NO]
- Status: [Submitted / Blocked by tags / Not attempted]
### Quality
- Health: [ok/error]
- Eval: [N]/[N] — [N] categories
- Tests: [N]/14
- Commit: [hash]
### Conversation Quality Assessment
- Deep technical exchanges: [count] (reply + follow-up threads)
- Total outreach footprint: [count] posts across [count] repos
- Estimated reply rate: [calculate from adds vs replies]
-
KPI: Start 3+ real technical conversations. Not one-off comments. Conversations where the other person asks a question or makes a suggestion.
-
@yun520-1 is priority #1. Their reply is the most valuable event that can happen. Check OpenClaw #42475 FIRST.
-
Every comment references specifics. Never copy-paste. Read the issue. Quote their words. Match the right rule to their problem.
-
Never mention cron. Not "checking cron state," not "verifying pipeline," not "listing jobs." The pipeline runs. You're here for outreach.
-
Never touch memory. No
memorytool calls. No profile updates. No entries. Five sessions burned on this. Memory is dead. -
Never fabricate. Show the URL of every posted comment. Show raw search output. Show eval numbers from curl.
-
Accept browser walls in <3 attempts. DNS/PH are secondary. If Cloudflare or PH is blocked, say so and keep posting comments.
-
Post-first, report-later. The single best thing you can do is post in an active cost-complaint thread RIGHT NOW. Everything else is secondary.